Cell Edge Detection and Cancer Cell Analysis

Program Code Description P0701: Cell Edge Detection - This commonly used image processing technique employs edge detection algorithms (such as Canny or Sobel operators) to identify cell boundary contours. The implementation typically involves gradient calculation, non-maximum suppression, and hysteresis thresholding to effectively separate cells from background. P0702: Cancer Cell Morphological Analysis - This module performs morphological feature analysis using shape descriptors and geometric properties. Key functions may include area calculation, perimeter measurement, and eccentricity computation to understand cancer cell growth patterns, enabling more accurate cancer diagnosis and treatment planning. P0703: Cancer Cell Color Analysis - This component analyzes color characteristics through color space transformation (RGB to HSV/LAB) and histogram analysis. The code implements feature extraction algorithms to help researchers understand biological properties and pathological changes of cancer cells, providing crucial references for disease research and therapeutic development.