MATLAB-based Implementation of Cell Edge Detection for Cancer Cell Analysis
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Cell edge detection implemented using MATLAB provides a highly effective approach for biomedical image analysis. This method enables accurate detection of cellular boundaries through algorithms like the Canny edge detector or active contour models, allowing for precise morphological evaluation of cell structures. Additionally, the implementation supports cancer cell color analysis by extracting RGB/HSV color features from segmented regions, enabling identification of cancerous cells based on color variations and intensity patterns. Furthermore, morphological analysis of cancer cells can be performed using MATLAB's Image Processing Toolbox functions such as regionprops() to quantify characteristics like area, perimeter, eccentricity, and solidity. This comprehensive approach combining edge detection with color and morphological analysis represents a significant research direction for cancer cell identification and characterization using computational methods.
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