CN1793919A - Automatic counting method of leucocyte number in blood microimage - Google Patents
Automatic counting method of leucocyte number in blood microimage Download PDFInfo
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Abstract
A method for automat calling counting white blood cell number in blood microscopic image includes adjusting longitudinal position to use image information entropy maximum position as longitudinal position of image collection, controlling horizontal x and y directional movement by utilizing position regulation to drive interface for finalizing counts of white blood cell in stained blood cell carrier plate.
Description
[technical field]: the present invention relates to a kind of photoelectric image identification and Application of Statistic Methods technical field automatically, particularly a kind of to leucocyte number automatic counting method in the blood microscopic image.
[background technology]: photoelectric image identification is the forward position content of intelligence instrument research, also be the important means that Automatic Measurement Technique adopts, it relates to the key content of multiple new branch of science researchs such as computer hardware technique, Image Information Processing technology, electromechanical integration technology.Leucocyte number in the blood microscopic image is realized that counting automatically can also reduce artificial measuring error when alleviating the heavy work that conventional manual method of counting brings, and is to be badly in need of the difficult problem that solves in the clinical medicine chemical examination.
[summary of the invention]: the objective of the invention is to solve at present the heavy work that the manual counting of leucocyte number in the blood microscopic image is brought and the problem of measuring error, provide a kind of to leucocyte number automatic counting method in the blood microscopic image.
Provided by the invention a kind of to leucocyte number automatic counting method in the blood microscopic image, be to realize as follows:
---the position control driving interface (6) by computing machine (8) control will input to longitudinal focusing position control (2), horizontal X direction position control (3) and horizontal Y direction position control (4) by the digit pulse control signal of computing machine output after amplifying;
---at first become the image at current lengthwise position place and calculated its information entropy by computing machine (8) by the biological microscope optical imagery part (1) of image capture interface (7) acquisition one width of cloth by gamma camera (5) picked-up, after moving up or down a vertical stepping step-length by position control driving interface (6) control longitudinal focusing position control (2) along the longitudinal axis, gather piece image again and calculate its information entropy, collection and information entropy that a vertical stepping step-length carries out image are again judged to select the direction of the image capture position of two width of cloth image information entropy maximums to advance, repeating said process till finding the image information entropy maximum value position, is the desirable lengthwise position of image acquisition with the image information entropy maximum position;
---by image capture interface (7) gather a width of cloth by the image of video camera (5) picked-up to computing machine (8), finish by corresponding image analysis software microscopic field inner blood leucocyte counted;
---then, make dyeing blood cell slide glass to the X-axis positive dirction horizontal stepping step-length of advancing by position control driving interface (6) controlling level directions X position control (3), to reposition blood leucocyte counting, till the directions X horizontal boundary of required analyzed area;
---at boundary by position control driving interface (6) controlling level Y direction position control (4) to making the dyeing blood cell slide glass Y-axis positive dirction horizontal stepping step-length of advancing, the opposite direction stepping ground in current new Y position along X count down to X-axis border in the other direction to blood leucocyte;
---repeat the stepping of Y direction, directions X stepping up to all surface level positions of scan required analysis, promptly on the peripheral blood staining section till the interpretation zone of correspondence;
---above each step counting summation is the leucocyte number on the dyeing blood cell slide glass of required analysis.
The reply image carries out pre-service before the counting: i.e. the image that biological microscope optical imagery part (1) by gamma camera (5) picked-up is become, when carrying out white blood cell count(WBC), at first utilize will the dye color of blood cell of formula to show the color space from RGB (three primary colours) table color space transformation to HSI (international standard CIE), obtaining with the leucocyte color by the filtering of chrominance component S (tone) histogram is the figure of cutting apart of feature, eliminate noise and use the caustic solution of mathematical morphology that the leucocyte image is shrunk to a point by the method for morphologic filtering, just obtain the leucocyte number by adding up last counting of contraction.
Advantage of the present invention and good effect: the present invention has provided a kind of to leucocyte number automatic counting method in the blood microscopic image, this method not only can be carried out automatic statistical counting to leucocyte number in the blood microscopic image rapidly and accurately, for using other also to be suitable for graphical analysis and the statistics application of image as target.The measuring speed that this method has is fast, the measuring accuracy advantages of higher, is specially adapted to the automatic measurement process, can be widely used in optical image sensing and measurement and other relevant therewith application scenarios.The utility system that the present invention adopts modern control automatically, data collection and analysis method to realize has resolution height, strong, the intelligent degree height of antijamming capability, advantage such as easy to operate.The present invention simultaneously can carry out accurately, the identification and the measurement of operation and micro-image quickly and automatically, thereby finishes the measurement to leucocyte number in the blood microscopic image.
[description of drawings]:
Fig. 1 is a leucocyte number automatic counter system structured flowchart in the blood microscopic image;
Fig. 2 is a dyeing blood cell slide glass scanning moving direction synoptic diagram;
Fig. 3 is the information entropy calculating reference point synoptic diagram of choosing on the plane of delineation;
Fig. 4 is the peripheral blood cell image of dyeing;
Fig. 5 is a width of cloth bianry image, and what promptly obtain by the filtering of chrominance component S (tone) histogram is the figure of cutting apart of feature with the leucocyte color;
Fig. 6 is that the method by morphologic filtering is eliminated noise and used the caustic solution of mathematical morphology the leucocyte image to be shrunk to the reference picture of a point.
[specific embodiment]:
As shown in Figure 1, the present invention realizes by following technology and computing method.When realizing that the leucocyte number is counted beginning automatically in the blood microscopic image, obtain the blood cell image and the computed image information entropy at the current observation position of a microscope place earlier by image capture interface (7), after moving up or down a vertical stepping step-length, the longitudinal axis gathers piece image and computed image information entropy by position control driving interface (6) control longitudinal focusing position control (2) again, select the direction of the two width of cloth image information entropy maximal value correspondence positions vertical stepping step-length of advancing to judge the size of position image information entropy again, till finding the image information entropy maximum position, with the image information entropy maximum position is the ideal focusing position, and it is according to being the maximum entropy theory that Burg proposed in 1967.
The calculating formula of image information entropy is:
In the formula: H (I) is an image information entropy, I={I
1, I
2, I
3... be the gray-scale pixels sequence of a certain image, P (I
i) be that gray-scale value is I in the image
iThe probability that in image, occurs of pixel.
After image is focused on preferably, gather image by CCD gamma camera (5) picked-up in computing machine (8) by image capture interface (7), finish by corresponding image analysis software microscopic field inner blood leucocyte is counted.Because the dyeing blood cell is colored, merely uses gradation of image I that graphical analysis is had certain difficulty, so the tone H of use image color and color saturation S are as the differentiation parameter of coloured image Target Recognition.Image generally adopts rgb format to store in the computing machine, need do conversion to respective value when adopting HSI to do the identification decision computing, and transformation for mula is:
(b)
R, g, b represent the color value of certain pixel in the rgb color descriptive system in the formula, and h, s, i are the color value of same pixel in the HSI system.
After finishing width of cloth micro image analysis statistics, by image capture interface (7) controlling level directions X position control (3) the horizontal stepping step-length of advancing, reposition blood image accumulative total is carried out white blood cell count(WBC), till the directions X horizontal boundary of required analyzed area, at boundary by advance a horizontal stepping step-length and carry out leukocytic counting in the visual field of image capture interface (7) controlling level Y direction position control (4), blood leucocyte is counted along the opposite direction stepping ground of X in current new Y position, lencocyte count up to all surface level positions of finishing required analysis is till promptly count in corresponding interpretation zone on the peripheral blood staining section.The image scanning pattern is seen accompanying drawing 2
The biological microscope structure that this method is used is the same substantially with the conventional biological microscope structure that clinical medicine uses, and has just increased an optical beam splitting prism and a stepper motor drive mechanism that is connected on the three-dimensional adjustment axle of microscope in the micro-imaging light path.In the microscope basic configuration module, microscope optical imaging system has an optical beam splitting prism that the blood cell image is imaged onto the eyepiece position of human eye observation and the position of ccd video camera (5) pickup image respectively.The purpose that keeps human eye observation eyepiece is to be convenient to the artificial supervision of the course of work and the calibration of equipment.The automatic acquisition module of image is finished the automatic realization of the optical imagery of micro-image to computer digital image.The microscopic position adjusting type modules realizes the high and low position adjustment of microscope enlarging lens and the two-dimensional level position adjustment of dyeing blood slide glass, thereby realizes the three-dimensional adjustment of observation position.In the three-dimensional adjustment drove, the big travel displacement that the adjustment of lengthwise position adopts the gear that connects on the motor transmission shaft to carry out drives and drives two parts by the micro-displacement that electricity causes driving to be formed; The big travel displacement that the gear that connects on the just motor transmission shaft that the displacement of horizontal both direction is adopted carries out drives.Video camera is input to image pick-up card with the image that collects with the standard format of industrial video.Image acquisition is stuck in the electric signal that receives after the displacement adjustment is finished and triggers the collecting work that carries out image, and computing machine is realized by universal serial port the driving of three-D displacement.
As shown in Figure 3, if certain width of cloth dyeing blood microscopic image is when the vertical focusing automatic interpretation, 25 pixels on image surface, have been chosen as information entropy calculating reference point (the whole pixels of digital picture that can select more a plurality of reference image vegetarian refreshments or collection in practice are as the information entropy calculating object), the sequence number of each point as shown in Figure 3, numeral is the serial number of information entropy calculating reference point among the figure.
Near the information entropy maximum point, corresponding gradation of image corresponds to following table 1 near the position of the vertical focusing of three the focus point just:
Three vertical focusing of table 1 plane epigraph gray scale
| 98 108 144 112 93 110 143 161 149 101 127 161 172 164 118 130 138 157 140 128 88 112 120 126 94 | 80 89 150 90 85 92 165 180 170 90 108 190 200 195 98 112 150 190 170 120 70 90 114 109 75 | 101 113 142 110 108 119 146 159 150 114 121 155 170 158 119 124 130 168 138 111 89 112 116 124 94 |
2 planes 3,1 plane, plane
Corresponding digital is the gradation of image value on Fig. 3 corresponding point in the form.
Corresponding image information entropy result of calculation such as table 2
As shown in Table 2, the information entropy maximum on plane 2, this plane is a focussing plane.
Three vertical focusing of table 2 plane epigraph information entropy is calculated
2 planes 3,1 plane, plane
| The gradation of image occurrence probability | Information entropy-P (Ii) *logP(il) | The gradation of image occurrence probability | Information entropy-P (li) *logP(Ii) | The gradation of image occurrence probability | Information entropy-P (Ii) *logP(li) |
| 2.4304E-01 | 1.4930E-01 | 1.6128E-01 | 12780E-01 | 2.1465E-01 | 1.4344E-01 |
| 2.4304E-01 | 1.4930E-01 | 8.6845E-02 | 92.165E-02 | 1.0732E-01 | 1.0403E-01 |
| 1.2152E-01 | 1.1123E-01 | 7.5266E-02 | 8.4554E-02 | 1.0732E-01 | 1.0403E-01 |
| 1.2152E-01 | 1.1123E-01 | 6.2721E-02 | 7.5428E-02 | 6.1328E-02 | 7.4350E-02 |
| 3.0380E-02 | 4.6099E-02 | 5.9420E-02 | 7.2853E-02 | 4.7699E-02 | 6.3034E-02 |
| 2.4304E-02 | 3.9234E-02 | 4.9086E-02 | 6.4256E-02 | 4.7699E-02 | 6.3034E-02 |
| 2.4304E-02 | 3.9234E-02 | 4.9086E-02 | 6.4256E-02 | 4.2930E-02 | 5.8695E-02 |
| 2.0253E-02 | 3.4299E-02 | 3.8931E-02 | 5.4881E-02 | 3.5775E-02 | 5.1745E-02 |
| 1.6202E-02 | 2.9009E-02 | 3.2257E-02 | 4.8107E-02 | 3.0664E-02 | 4.6406E-02 |
| 1.5190E-02 | 2.7622E-02 | 3.0513E-02 | 4.6243E-02 | 3.0664E-02 | 4.6406E-02 |
| 1.5190E-02 | 2.7622E-02 | 3.0513E-02 | 4.6243E-02 | 2.8620E-02 | 4.4170E-02 |
| 1.5190E-02 | 2.7622E-02 | 3.0513E-02 | 4.6243E-02 | 2.6831E-02 | 4.2161E-02 |
| 1.3502E-02 | 2.5243E-02 | 2.9710E-02 | 4.5370E-02 | 2.5253E-02 | 4.0346E-02 |
| 1.2152E-02 | 2.3275E-02 | 2.9710E-02 | 4.5370E-02 | 2.3850E-02 | 3.8697E-02 |
| 1.1573E-02 | 2.2412E-02 | 2.6881E-02 | 4.2218E-02 | 2.3850E-02 | 3.8697E-02 |
| 9.0014E-03 | 1.8414E-02 | 2.6256E-02 | 4.1504E-02 | 2.1465E-02 | 3.5809E-02 |
| 8.3806E-03 | 1.7404E-02 | 2.6256E-02 | 4.1504E-02 | 1.9513E-02 | 33361E-02 |
| 8.1012E-03 | 1.6943E-02 | 2.4021E-02 | 3.8900E-02 | 1.5900E-02 | 2.8598E-02 |
| 7.3648E-03 | 1.5708E-02 | 2.1711E-02 | 3.6113E-02 | 1.5900E-02 | 2.8598E-02 |
| 73648E-03 | 1.5708E-02 | 2.1302E-02 | 3.5608E-02 | 1.4310E-02 | 2.6393E-02 |
| 7.1481E-03 | 1.5339E-02 | 1.9807E-02 | 3.3735E-02 | 1.3848E-02 | 2.5738E-02 |
| 6.9439E-03 | 1.4988E-02 | 1.7920E-02 | 3.1301E-02 | 1.2626E-02 | 2.3974E-02 |
| 6.7510E-03 | 1.4654E-02 | 1.7920E-02 | 3.1301E-02 | 1.1008E-02 | 2.1556E-02 |
| 6.0759E-03 | 1.3467E-02 | 1.6603E-02 | 2.9550E-02 | 1.0732E-02 | 2.1135E-02 |
| 5.5236E-03 | 1.2471E-02 | 1.5466E-02 | 2.8002E-02 | 1.0221E-02 | 2.0345E-02 |
| (1.0000E+00 probability and) | (1.0178E+00 information entropy and) | (1.0000E+00 probability and) | (1.3035E+00 information entropy and) | (9.9998E-01 probability and) | (1.2248E+00 information entropy and) |
To the peripheral blood cell image that dyes as shown in Figure 4, when carrying out white blood cell count(WBC), at first utilize will the dye color of blood cell of formula (b) to show the color space from RGB (three primary colours) table color space transformation to HSI (international standard CIE), obtaining with the leucocyte color by the filtering of chrominance component S (tone) histogram is the figure of cutting apart of feature, as Fig. 5, this is a width of cloth bianry image, can eliminate noise and use the caustic solution of mathematical morphology that the leucocyte image is shrunk to a point by the method for morphologic filtering, as Fig. 6.Just obtain the leucocyte number by adding up last counting of contraction.
Claims (2)
1, a kind of to leucocyte number automatic counting method in the blood microscopic image, it is characterized in that this method realizes as follows:
---the position control driving interface (6) by computing machine (8) control will input to longitudinal focusing position control (2), horizontal X direction position control (3) and horizontal Y direction position control (4) by the digit pulse control signal of computing machine output after amplifying;
---at first become the image at current lengthwise position place and calculated its information entropy by computing machine (8) by the biological microscope optical imagery part (1) of image capture interface (7) acquisition one width of cloth by gamma camera (5) picked-up, after moving up or down a vertical stepping step-length by position control driving interface (6) control longitudinal focusing position control (2) along the longitudinal axis, gather piece image again and calculate its information entropy, collection and information entropy that a vertical stepping step-length carries out image are again judged to select the direction of the image capture position of two width of cloth image information entropy maximums to advance, repeating said process till finding the image information entropy maximum value position, is the desirable lengthwise position of image acquisition with the image information entropy maximum position;
---by image capture interface (7) gather a width of cloth by the image of video camera (5) picked-up to computing machine (8), finish by corresponding image analysis software microscopic field inner blood leucocyte counted;
---then, make dyeing blood cell slide glass to the X-axis positive dirction horizontal stepping step-length of advancing by position control driving interface (6) controlling level directions X position control (3), to reposition blood leucocyte counting, till the directions X horizontal boundary of required analyzed area;
---at boundary by position control driving interface (6) controlling level Y direction position control (4) to making the dyeing blood cell slide glass Y-axis positive dirction horizontal stepping step-length of advancing, the opposite direction stepping ground in current new Y position along X count down to X-axis border in the other direction to blood leucocyte;
---repeat the stepping of Y direction, directions X stepping up to all surface level positions of scan required analysis, promptly on the peripheral blood staining section till the interpretation zone of correspondence;
---above each step counting summation is the leucocyte number on the dyeing blood cell slide glass of required analysis.
2, leucocyte number automatic counting method according to claim 1, it is characterized in that before the counting image being carried out pre-service: promptly to by the biological microscope optical imagery of gamma camera (5) picked-up (1) image of being become partly, when carrying out white blood cell count(WBC), at first utilize will the dye color of blood cell of formula to show the color space from RGB three primary colours table color space transformation to HIS international standard CIE, obtaining with the leucocyte color by the filtering of chrominance component S (tone) histogram is the figure of cutting apart of feature, eliminate noise and use the caustic solution of mathematical morphology that the leucocyte image is shrunk to a point by the method for morphologic filtering, just obtain the leucocyte number by adding up last counting of contraction.
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