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 + 0.587*G + 0.114*B

EDGE DETECTIONEDGE – 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.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”

4. R.Gonzalez and R. Woods, “Digital Image Processing”, 1st edition, Addison-Wesley,1992.

5. W. Pratt,” Digital Image Processing”, John Wiley& Sons, 1978.