• Daizy Deb
• Sudipta Roy

Classification, in general, refers to clustering or grouping data into similar sets. This information is helpful in the study for any signal or data processing system. Image classification is alike to general data classification, but in different fields of appliance it can vary in different way. A human analyst attempt to classify the various textures in an image uses the elements of visual understanding to categorize homogeneous groups of pixels that represent various features for the classes of significance. Image classification and segmentation refers to discover and grouping areas in an image that bear some resemblance to each other. This can be used to separate definite areas of interest from an image or segment them with similar colors to differentiate such areas within the image. Applications for such segmentation are establish, particularly in medical image segmentation and its various techniques are executed and study the comparative result.

Clustering, Otsu, FCM, blood image Segmentation.

"COMPARATIVE RESULT ANALYSIS OF VARIOUS BLOOD IMAGE SEGMENTATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.956-961, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805578.pdf

"COMPARATIVE RESULT ANALYSIS OF VARIOUS BLOOD IMAGE SEGMENTATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp956-961, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805578.pdf