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Region-based Image Retrieval (RBIR), which bases itself on image segmentation rather than global features or key-point-based local features, is a branch of Content-based Image Retrieval. This paper proposes a novel RBIR-oriented image segmentation algorithm named Edge Integrated Minimum Spanning Tree (EI-MST). The difference between EI-MST and the traditional MST-based methods is that EI-MST generates...
A novel pedestrian detection method that integrates context information with slide window search is proposed. The method applies notions such as corner, motion, and appearance to localize pedestrians in far-field videos without performing brute-force-search. The corners direct attention to a set of conspicuous locations as the starting points for searching. And motion detection restricts the searching...
Image registration is the process of overlaying two or more images of the same scene taken at different times, from different view points, and /or by different sensors. A novel feature-based multi-sensor image registration system is developed. The system consists of two new points: first, edge features are extracted from images, and the features are dilated to suppress some certain kinds of noise...
Based on the physical model of fogged images, a new method is proposed to enhance the visibility of a single image adaptively. In order to restrain the edge halation produced by virtual air light defogging method, the concept of neighboring pixel's relative depth information is brought up. Input images may have different extent of disturbance of fog or haze, and they need different strength of defogging...
Many researchers have studied the issue of image defogging and enhancement, but there is no objective criterion to evaluate the defogging results. Based on the visual differences of images before and after defogging, valid edge intensity is defined to denote the detail performance of image, and color intensity in CIELAB color space is defined to denote the color performance of image. At last, the...
In this paper, a new feature for text verification is proposed. The difficulties for the selection of features for text verification (FTV) are first discussed, followed by two principles for the FTV: the FTV should minimize the influence of backgrounds, and it should also be expressive enough for all the texts varied in structures prominently. In this paper, we exploit different block partition methods...
This paper presents a novel algorithm for face recognition based on a single image and a new LBP (Local Binary Pattern) descriptor. The algorithm can be divided into three steps: firstly, calculating both the horizontal and vertical edge maps from the gray image; then extracting LBP histograms from those two edge images; finally, adopting elastic matching for classification. In addition, in order...
Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation invariant. In this paper, an extension of the original LBP is proposed. LBP operator is adopted in multi-layer block domain, instead of pixel domain. Meanwhile, feature dimension is effectively reduced by dual-histogram LBP (DH-LBP). Combining merits of the two, we propose the advanced LBP (ALBP) and use that...
Global gray-level thresholding techniques such as Otsupsilas method, and local gray-level thresholding techniques such as adaptive thresholding method are powerful in extracting character objects from simple or slowly varying backgrounds. However, they are found to be insufficient when the backgrounds include sharply varying contours or fonts in different sizes. In this paper, we propose a double-edge...
Face recognition, which is an active research area in pattern recognition, has made great progress in recent years. Its performance that based on multiple face images is satisfying, but it is remain poor when only a single face image is used to training. Accordingly, we propose a new algorithm of face recognition that based on a single face image in this paper. The new algorithm can be divided into...
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