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CELL COUNTING USING IMAGE PROCESSING. B. HEMAKUMAR Dept. of Electronics and Instrumentation SHANMUGA ARTS SCIENCE TECHNOLOGY AND RESEARCH ACADEMY (SASTRA)

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Presentation on theme: "CELL COUNTING USING IMAGE PROCESSING. B. HEMAKUMAR Dept. of Electronics and Instrumentation SHANMUGA ARTS SCIENCE TECHNOLOGY AND RESEARCH ACADEMY (SASTRA)"— Presentation transcript:

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

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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 *G *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

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

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

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

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