Saliency map based active contour method for automatic image segmentation

2012 ◽  
Author(s):  
Changcai Yang ◽  
Xinyi Zheng ◽  
Shengxiang Qi ◽  
Jinwen Tian ◽  
Sheng Zheng
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Saliency Map ◽  
Contour Method ◽  
Active Contour Method

Healthcare Informatics Using Modern Image Processing Approaches

2019 ◽  
pp. 254-277 ◽  
Author(s):  
Ramgopal Kashyap ◽  
Surendra Rahamatkar
Keyword(s):  
Image Processing ◽  
Active Contour ◽  
Image Data ◽  
Saliency Map ◽  
Medical Image Segmentation ◽  
Local Region ◽  
Contour Method ◽  
Unsupervised Segmentation ◽  
Active Contour Method ◽  
Modern Image

Medical image segmentation is the first venture for abnormal state image analysis, significantly lessening the multifaceted nature of substance investigation of pictures. The local region-based active contour may have a few burdens. Segmentation comes about to intensely rely on the underlying shape choice which is an exceptionally capable errand. In a few circumstances, manual collaborations are infeasible. To defeat these deficiencies, the proposed method for unsupervised segmentation of viewer's consideration object of medical images given the technique with the help of the shading boosting Harris finder and the center saliency map. Investigated distinctive techniques to consider the image data and present a formerly utilized energy-based active contour method dependent on the choice of high certainty forecasts to allocate pseudo-names consequently with the point of diminishing the manual explanations.

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