Python – Blood Cell Identification using Image Processing
Detection of White Blood Cell and Red Blood Cell is very useful for various medical applications, like counting of WBC, disease diagnosis, etc. Circle detection is the most suitable approach. This article is the implementation of suitable image segmentation and feature extraction techniques for blood cell identification, on the obtained enhanced images.
For explaining the working and use of Image Enhancement and Edge Detection, this article is using the image:
Code: Python Code for Image Enhancement
Output Enhanced Images:
Image Segmentation and Feature Extraction
Summary of complete process