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Segmentation using contrast and homogeneity measures |
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| Affiliation: | 1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China;2. Beihang University Qingdao Research Institute, China;3. Department of Computer Science, Stony Brook University, USA;1. Institute of Methodologies for Environmental Analysis, CNR-IMAA, Tito Scalo 85050, Italy;2. DIEM, University of Salerno, Fisciano 84084, Italy;3. University Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble 38000, France |
| Abstract: | The present work describes an algorithm for automatic image segmentation using a ‘homogeneity’ measure and a ‘contrast’ measure defined on the co-occurrence matrix of the image. The measure of contrast involves the concept of logarithmic response (adaptibility with background intensity) of the human visual system (HVS). A merging algorithm is also introduced in order to remove the undesirable thresholds.Effectiveness of the algorithm and the comparison of its performance with the existing ones are demonstrated for a set of images. |
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