Segmentation Techniques for Complex Image: Review
Rahul Pandey, R. Lalchhanhima · 2020 International Conference on Computational Performance Evaluation (ComPE) · 2020
Segmentation is the technique where an image is partitioned into various regions comprising of similar attributes like intensity, texture, graysclae, etc represented by pixel patterns. Image segmentation has been generating research opportunities in this field for a long period. Various segmentation techniques like Otsu Thresholding, K-means clustering, Watershed Technique, Active Contours and Particle Swarm Optimization have been reviewed under this study. Survey of the mathematical equations along with the carrying-out of above segmentation techniques practically is the desired purpose of this study. The performance is analysed by estimation of the performance measurements i.e, TP, TN, FP and FN in numerical values.