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In the past few years, image retrieval has been one of the hot spots in computer vision field. Among many image retrieval techniques, Bag-of, Word (BoW) model is one of the effective and efficient methods that can search images with visual vocabularies and it is insensitive to massive data and various geometric attacks. But the classical BoW algorithm used some descriptors as its visual words, such...
Improving the robustness of watermark in withstanding attacks has been one of the main research objectives in digital image watermarking. In this paper we propose a novel region-adaptive watermarking technique that can provide improvements in both robustness and visual quality of the watermarks when compared to the original, non-region-adaptive, embedding technique. The proposed technique, which is...
This paper studies the methods of textile image segmentation which can be used for textile CAD (computer-aided design). Based on the semi-supervised clustering, a new textile image segmentation algorithm is proposed by the minimum risk Bayes decision theory, which can get the final accurate results of segmentation by limited human assistance, that is, users indicate the relationship of some different...
In this paper, we present an automatic seeded region growing (SRG) algorithm for color image segmentation. The method uses regions rather than pixels as the seeds of SRG. The architecture of the algorithm can be described as follows. First, the input RGB color image is transformed into HSI color space. Second, we use watershed segmentation to initialize the image. Third, the initial region seeds are...
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