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Cells in our blood can be categorized. Pathologist detects these blood cells and diagnoses different disease. This paper describes the way in which we can detect these cells in body by using the concept of image processing. The manual way of detecting these cells and diagnosing the disease is very time consuming and has more chances of making mistakes. This method is developing to identify the cell when any cell image is given as an input. The methodology used is, image acquisition, image segmentation, trained images, test images, feature extraction of cells, feature vector dataset, similarity of cells. This will detect the different cells.

Detection and Segmentation of Blood Cells Based on Supervised Learning