Gradient Threshold Based Image Transition Region Extraction and Segmentation

Traditional transition region extraction methods depend much on the clip limits L_low and L_high. In which methods L_low and L_high can not often be obtained correctly from real images, which will result in incorrect extraction of transition region and finally bad quality of segmentation. A novel gradient threshold-based transition region extraction method (GT-TREM) is presented. Transition regions can steadily be extracted by GT-TREM. Experimental results demonstrated the robustness and effectiveness of the algorithm.