The Study of Image Segmentation Based on the Combination of the Wavelet Multi-scale Edge Detection and the Entropy Iterative Threshold Selection

This paper proposes an image segmentation method based on the combination of the wavelet multi-scale edge detection and the entropy iterative threshold selection. Image for segmentation is divided into two parts by high- and low-frequency. In the high-frequency part the wavelet multiscale was used for the edge detection, and the low-frequency part conducted on segmentation using the entropy iterative threshold selection method. Through the consideration of the image edge and region, a CT image of the thorax was chosen to test the proposed method for the segmentation of the lungs. Experimental results show that the method is efficient to segment the interesting region of an image compared with conventional methods.