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The automated brain tumor segmentation methods are challenging due to the diverse nature of tumors. Recently, the graph based Spectral Clustering (SC) method is utilized for brain tumor segmentation to create high‐quality clusters. In this article, a new superpixel based SC using the Walsh Hadamard texture feature for multimodal brain tumor segmentation from Magnetic Resonance Image is proposed. The...
Video Summarization plays a vital role in the internet user's life, especially for those searching for user specified video of interest for a long time. In order to provide support for users in terms of searching and retrieving video content, it is necessary to segment the video into shots and extract representative frame of each shot which acts as a summary of the video. So, in this paper, an approach...
Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
Shot boundary detection algorithm has the longest and richest history in the area of content based video analysis and retrieval. Various automatic shot boundary detection techniques have been proposed and their performances are reliable, especially for video cut detection. This paper approaches the video cut transition detection based on the block wise histogram differences of the two consecutive...
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