Depth Image Occlusion Edge Detection

This paper discusses methods for depth image occlusion edge detection. The fundamental principle of this technique involves utilizing pixel information from depth images to detect edges, thereby enabling the identification of occlusion boundaries. Regarding methodology, the author presents a threshold-based approach - a commonly used image processing technique that achieves image binarization and segmentation through parameterized threshold settings. The implementation typically involves analyzing depth discontinuities where significant changes in pixel values indicate potential occlusion edges. The MATLAB source code provided demonstrates practical application of this algorithm, including key functions for depth data preprocessing, threshold calculation, and edge map generation. This resource offers comprehensive insights that will assist readers in understanding both the theoretical foundations and practical implementation of depth image occlusion edge detection techniques.