cell counting using image processing
DESCRIPTION
BLOOD. 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 - PowerPoint PPT PresentationTRANSCRIPT
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CELL COUNTING
USING
IMAGE PROCESSING
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B. HEMAKUMAR
Dept. of Electronics and Instrumentation
SHANMUGA ARTS SCIENCE TECHNOLOGY AND RESEARCH ACADEMY (SASTRA)
Deemed University
TANJORE, SOUTH INDIA
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INTRODUCTION NEED FOR BLOOD CELL COUNTING CONVENTIONAL METHODS AND THEIR DEMERITS
METHOD PROPOSED MERITS OF USING IMAGE PROCESSING
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SAMPLE
VIDEO M + COMP. INT
RGB TO GRAY SCALE
EDGE DETECTION
CELL COUNT
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BLOOD SAMPLE COLLECTION
CHEMICAL MIXING
GIVEN TO MICROSCOPE
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CAPTURING THE IMAGE
CAMERA CONTROL UNIT
CCD TYPE VIDEO CAMERA
COMPACT, LIGHT WEIGHT, BETTER SENSITIVITY, HIGHER RESOLUTION
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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
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RGB TO GRAY
Y’ gives the grayscale image
Y’ = 0.299*R + 0.587*G + 0.114*B
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EDGE DETECTIONEDGE – ABRUPT GRAY LEVEL
CHANGE
METHODS
1. GRADIENT OPERATOR
PAIR OF MASKS MEASURES GRADIENT ALONG TWO ORTHOGONAL
DIRECTIONS.
MAGNITUDE & PHASE OF GRADIENTS
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MAGNITUDE > THRESHOLD = EDGE
PHASE = EDGE DIRECTION
TWO THRESHOLDS - STRONG AND WEAK EDGES
SOBEL, PREWITT, ROBERT & CANNY
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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
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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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Edge Detection Method No. of Cells Counted
Sobel 288
Prewitt 286
Canny 689
Roberts 229
Laplacian 471
MANUAL COUNT :
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1. C. Harris and M. Stephens, ”A combined corner and edge detector”, Proc.4th 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”
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4. R.Gonzalez and R. Woods, “Digital Image Processing”, 1st edition, Addison-Wesley,1992.
5. W. Pratt,” Digital Image Processing”, John Wiley& Sons, 1978.
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