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To quickly detect the defection of moving object, base on the experiments and analysis of the advantages and disadvantages of the classical operator, a new detection method of SUSAN Operator and K-means clustering algorithm fusion is presented in this paper. This method integrates the advantages of the high precision of edge detection of the SUSAN Operator and the accurate online detection of K-Means...
Image segmentation is the key factor for target recognition of ladar range images. Morphological watershed segmentation is a steady method, which can produce a closed curve. In this paper, a watershed segmentation based on markers is used to carry out emulational experiments on image segmentation of range images: simulated range image of coherent ladar, background-suppressed range image and range...
Relevance feedback is a good method for the semantic gap between the low-level similarity and the high-level user's query in content-based image retrieval. It interactively asks user whether certain proposed images and the query output are relevant or not. In this paper we propose the use of a support vector machines for conducting effective relevance feedback for trademark retrieval. The algorithm...
Relevance feedback is a good method for semantic gap in image retrieval. In this paper we propose a method which uses support vector machines for conducting effective relevance feedback for trademark retrieval. The algorithm takes the test results to adjust the already trained support vector machines. We select the Tamura textures features which consistent with human vision perception and the low-level...
This paper presents a relevance feedback method to be working out well for trademark retrieval. For the semantic gap between the low-level similarity and the high-level user's query in content-based image retrieval, this paper proposes a retrieval strategy to remedy the semantic gap. One side is to use the Tamura texture features which consistent with human vision perception and the low-level feature...
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