Segmentation of Images with Insufficient Dynamical Range
Zujun Hou, How‐Lung Eng, Yue Wang, Ruijiang Luo · 2011
In this paper a method is presented to automatically detect objects from images with insufficient contrast. Using the edge map by the Canny edge detector as a reference, the corresponding edge structures in the edge map by the zero-crossing edge detector are firstly determined. Then meaningful structures are differentiated with respect to those randomly distributed edge segments and are recovered from the zero-crossing edge map. The method is validated in a realistic vision system and compared favorably with existing methods. 1. General Instructions As a fundamental issue in computer vision and image processing, object detection aims to find semantic objects in digital images or videos. The detection can be supervised