1. CELL COUNTING USING IMAGE PROCESSING

2. B. HEMAKUMAR Dept. of Electronics and Instrumentation SHANMUGA ARTS SCIENCE TECHNOLOGY AND RESEARCH ACADEMY (SASTRA) Deemed University TANJORE, SOUTH INDIA

3. INTRODUCTION  NEED FOR BLOOD CELL COUNTING  CONVENTIONAL METHODS AND THEIR DEMERITS  METHOD PROPOSED  MERITS OF USING IMAGE PROCESSING

4. SAMPLE VIDEO M + COMP. INT RGB TO GRAY SCALE EDGE DETECTION CELL COUNT

6.  BLOOD SAMPLE COLLECTION  CHEMICAL MIXING  GIVEN TO MICROSCOPE

7.  CAPTURING THE IMAGE  CAMERA CONTROL UNIT  CCD TYPE VIDEO CAMERA COMPACT, LIGHT WEIGHT, BETTER SENSITIVITY, HIGHER RESOLUTION

8.  CCD TYPE – HEAT NOISE SUPPRESSED BY INTEGRATED COOLING SYSTEMS  SCSI INTERFACE – A/D PARALLEL INTERFACE STANDARD (PC/MAC/UNIX)  IMAGE GRIPPER CARD PC - MATLAB V6.5

9. RGB TO GRAY Y’ gives the grayscale image Y’ = 0.299*R + 0.587*G + 0.114*B

10. EDGE DETECTION EDGE – ABRUPT GRAY LEVEL CHANGE METHODS 1. GRADIENT OPERATOR PAIR OF MASKS MEASURES GRADIENT ALONG TWO ORTHOGONAL DIRECTIONS. MAGNITUDE & PHASE OF GRADIENTS

11. MAGNITUDE > THRESHOLD = EDGE PHASE = EDGE DIRECTION TWO THRESHOLDS -STRONG AND WEAK EDGES SOBEL, PREWITT, ROBERT & CANNY

12. 2. LAPLACIAN WIDE GRAY LEVEL CHANGE MORE SENSITIVE TO NOISE ZERO CROSSING PROPERTY POPULAR LAPLACIAN GUASSIAN OPERATOR h(m,n)=c[1-(m2+m2)/σ2] exp (-((m2+n2)/2σ2))) OUTPUT OF EDGE DETECTION BINARY IMAGE

13. CELL COUNT  Linear flow of reading from starting of ROW/COLUMN and increment  If p(x-1, y-1), p(x-1, y), p(x, y-1) and p(x+1, y- 1) are ZERO, then increment COUNT

17. Edge Detection Method No. of Cells Counted Sobel 288 Prewitt 286 Canny 689 Roberts 229 Laplacian 471 MANUAL COUNT :

19. 1. C. Harris and M. Stephens, ”A combined corner and edge detector”, Proc.4 th Alvey Vision Conference, pp. 189-192,1988 2. X. Xie, R. Sudhakar and H. Zhuang, ”Corner detection by a cost minimization approach”, Pattern Recognition, Vol. 26, No. 8, pp. 1235- 1243, 1993 3. Gernot Hoffmann “Tutorial on Luminance Models for the Grayscale conversion”

20. 4. R.Gonzalez and R. Woods, “Digital Image Processing”, 1st edition, Addison-Wesley,1992. 5. W. Pratt,” Digital Image Processing”, John Wiley& Sons, 1978.