Enhanced SUSAN Algorithm

The enhanced SUSAN algorithm represents an advanced approach to edge detection utilizing adaptive thresholding. This algorithm performs comprehensive image analysis to accurately identify edges within digital images. The key improvement lies in its dynamic threshold adjustment capability, where the algorithm automatically optimizes threshold parameters based on image characteristics to enhance both detection accuracy and computational efficiency. This adaptive mechanism typically involves calculating local image statistics and modifying the core SUSAN comparison function to respond to varying contrast levels. The algorithm finds extensive applications in image processing and computer vision domains. Through these SUSAN algorithm enhancements, developers can achieve superior image processing outcomes with more reliable edge detection results, particularly in challenging scenarios with varying illumination or texture patterns. Implementation typically involves defining a circular mask template, comparing pixel intensity differences, and applying threshold adaptation rules within the core SUSAN nucleus area analysis.