CELL COUNTING USING IMAGE PROCESSING
B. HEMAKUMAR Dept. of Electronics and Instrumentation SHANMUGA ARTS SCIENCE TECHNOLOGY AND RESEARCH ACADEMY (SASTRA) Deemed University TANJORE, SOUTH INDIA
INTRODUCTION NEED FOR BLOOD CELL COUNTING CONVENTIONAL METHODS AND THEIR DEMERITS METHOD PROPOSED MERITS OF USING IMAGE PROCESSING
SAMPLE VIDEO M + COMP. INT RGB TO GRAY SCALE EDGE DETECTION CELL COUNT
BLOOD SAMPLE COLLECTION CHEMICAL MIXING GIVEN TO MICROSCOPE
CAPTURING THE IMAGE CAMERA CONTROL UNIT CCD TYPE VIDEO CAMERA COMPACT, LIGHT WEIGHT, BETTER SENSITIVITY, HIGHER RESOLUTION
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
RGB TO GRAY Y’ gives the grayscale image Y’ = 0.299*R *G *B
EDGE DETECTION EDGE – ABRUPT GRAY LEVEL CHANGE METHODS 1. GRADIENT OPERATOR PAIR OF MASKS MEASURES GRADIENT ALONG TWO ORTHOGONAL DIRECTIONS. MAGNITUDE & PHASE OF GRADIENTS
MAGNITUDE > THRESHOLD = EDGE PHASE = EDGE DIRECTION TWO THRESHOLDS -STRONG AND WEAK EDGES SOBEL, PREWITT, ROBERT & CANNY
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
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
Edge Detection Method No. of Cells Counted Sobel 288 Prewitt 286 Canny 689 Roberts 229 Laplacian 471 MANUAL COUNT :
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”
4. R.Gonzalez and R. Woods, “Digital Image Processing”, 1st edition, Addison-Wesley, W. Pratt,” Digital Image Processing”, John Wiley& Sons, 1978.