A Review of Color Image Segmentation Based on Visual Attention
Ning-yu Zhang, Qing Liu, Wenzhu Yang, Si-le WANG, Zhenchao Cui, Li-pin CHEN, Xiangyang Chen · DEStech Transactions on Computer Science and Engineering · 2017
Color image segmentation is a key technology in the field of computer vision. The quality of the segmentation results has a decisive influence on the quality of subsequent image analysis. In essence, computer vision is used a computer to replace the human vision to complete the target extraction and determination. Most of the traditional methods focus on ontology characteristics and ignore the role of human in the analysis process. In recent years, the visual saliency which simulates the process of the extraction of visual object by the human has been greatly improved in the field of image segmentation. Firstly, the visual attention calculation model is introduced. Then, the applications of visual attention calculation model in color image segmentation were summarized. Finally, the challenges in visual attention modeling at present were analyzed.