Advanced ROI (Region of Interest) Algorithms: Beyond Basic Shape Detection

Modern ROI (Region of Interest) algorithms have evolved beyond traditional circular or rectangular detection methods, incorporating automated region tracking and adaptive segmentation techniques through computer vision libraries like OpenCV and TensorFlow.

A Novel Variable Step-size LMS Adaptive Filtering Algorithm and Its Comparison with Traditional Algorithms

A novel variable step-size least mean square (LMS) adaptive filtering algorithm and its comprehensive comparison with conventional algorithms, including implementation methodology and performance analysis.

FLICM: A Fuzzy Local Information C-Means Clustering Algorithm with Enhanced Robustness

FLICM represents a recent advancement in fuzzy clustering, building upon traditional FCM methods with superior robustness and performance. This algorithm integrates local spatial information with fuzzy clustering principles, featuring improved noise immunity and clustering accuracy through a novel fuzzy local similarity measure implemented in its objective function.