CELL COUNTING

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BLOOD
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
BLOOD
STEP 1
VIDEO M COMP. INT
STEP 2
RGB TO GRAY SCALE
STEP 3
EDGE DETECTION
STEP 4
STEP 5
CELL COUNT
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SYSTEM SETUP
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STEP

• BLOOD SAMPLE COLLECTION
• CHEMICAL MIXING
• GIVEN TO MICROSCOPE

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STEP

• 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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STEP
RGB TO GRAY
Y gives the grayscale image Y 0.299R
0.587G 0.114B
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STEP
EDGE DETECTION EDGE 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 gt 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)c1-(m2m2)/s2 exp
(-((m2n2)/2s2))) OUTPUT OF EDGE DETECTION
BINARY IMAGE

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STEP

• 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(x1, y- 1) are ZERO, then increment COUNT

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RESULTS...
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(No Transcript)
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FRONT END TOOL USING GUIDE
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Edge Detection Method No. of Cells
Counted Sobel 288 Prewitt 286
Canny 689 Roberts 229 Laplacian
471
300
MANUAL COUNT
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CONCLUSION
Sobel and Prewitt
matches with min. error
with manual counting
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REFERENCES

•  
• 1. C. Harris and M. Stephens, A combined
  corner and edge detector, Proc.4th Alvey
  Vision Conference, pp. 189-192,1988
• 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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REFERENCES contd..
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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Thank you for your attention...