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In current common salient regions-based image retrieval schemes, salient regions are individually disposed, and one could not retrieve the objects with distinct indispensable regions. Herein, we propose one multiple salient regions combined (MSRC) image retrieval scheme, which uses all the salient regions of target object images to search the implicit objects in querying images for their counterparts...
Relevance feedback has been developed for several years and becomes an effective method for capturing userpsilas concepts to improve the performance of content-based image retrieval (CBIR). In contrast to fully labeled training dataset in supervised learning, semi-supervised learning and active learning deal with training dataset with only a small portion of labeled samples. This is more realistic...
Based on wavelet transform possessing of specialties of multiresolution and representation local signal, this paper proposed a multiresolution technique for color medical image representation and segmentation, particularly suited for the noisy and large pathological section images. An orthogonal wavelet transform is initially applied to each color channel of the image, and a multiresolution is built...
This paper proposes a fuzzy hypergraph model (FHM) for image representation. This model uses both local and globe information of images rely on location space and color space respectively. And by using hypergraph, this model could represent the complex relationships between more than two pixels instead of simple graph which only represent pairwise relationships. This paper uses a semi-supervised learning...
This paper puts forward a fast multi-scale retinex algorithm in order to solve the problem of color distortion and to improve the disadvantages of a slowly time-consuming arithmetic in the course of image enhancement which is based on the multi-scale retinex algorithm. Through construction of average value templates in advance, Gaussian convolution operation is simplified to be average arithmetic...
This study proposed to use wavelet transfer to acquire image hue and value as image features, and use Back-propagation Neural Network Fuzzy Clustering analysis to recognize type of textile texture. Firstly, the RGB color space of original color image is transferred to HSV color space; secondly, wavelet transfer is applied to obtain vertical, horizontal and diagonal images of hue and value, and compute...
A method of detection and localization in lip-reading system based on least square fitting and two stage ellipse fitting was proposed in this paper. Firstly, color space transformation in simple background facial images was made to simply and fast detect skin regions and get threshold for segmenting lip area; secondly, according to two stage ellipse fitting based on least square, lip image are gained...
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