Focused Color Intersection for Leukocyte Detection and Recognition System
Keywords:
Leukocyte detection, leukocyte recognition, white blood cell, focus color intersection, active search.Abstract
The proposed system aims to automatically detect
and recognize the leukocyte types from microscopic images.
Thedeveloped system detects the leukocyte area within an input
image and classifies the leukocyte type in one of the five
categories (neutrophils, eosinophils, basophils, lymphocytes,
and monocytes). The focused color intersection method is
performed based on the color information of the blood cell
images. Three main processes in the proposed system are: 1) the
color histogram construction, 2) the focus region determination,
and 3) the active search process. The system starts with
constructing the Red Green Blue (RGB) color histogram and
finding the histogram intersection. Next, the system selects the
focus regions and does active searching of the focus regions
which contain parts of the image which have the highest
probability of the histogram intersection. The focused color
intersection method enables the system to automatically detect
leukocyte areas and determine the leukocyte types from
microscopic images.
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