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Phase Congruency (PC) features are firstly introduced into image and video coding field in this paper. As an effective tool to measure the edge information for image textures, PC change can be used to evaluate the compression loss, i.e. the coding distortions in image and video coding. Firstly, the compression influences on PC maps are given and analyzed. Secondly, the relationship between the consumed...
A novel multiscale phase congruency (MPC) based analysis method is proposed in this paper for edge saliency detection and non-salient region texture suppression. Several MPC maps are proposed to be merged. Gaussian function based center priors and threshold processing are applied for the final edge saliency map generation, which can effectively suppress the textures and the detailed edges of non-salient...
In this paper, phase congruency (PC) features for different down-sampled and Gaussian blurred images are presented and analyzed. The detailed textures in the background can be suppressed in the PC maps for the down-sampled and blurring images. As the down-sampling ratio increases, the detailed edges and complex textures in the background can be effectively suppressed. For the blurring images, the...
The paper researches the issue that fundamental matrix is recovered in images. Firstly, the corners are detected by Harris operator, and matches cross-correlation corners. According to the definition of polar equation, the polar of feature point must pass corresponding point in matching images. Then, to extract correctly matching points and eliminate error by the criterion which is the distance between...
Color and shape descriptions of an image are the most widely used visual features in content-based image retrieval systems. Feature vectors for shape and color can be combined to improve the performance of the content-based image retrieval systems. In this paper, a novel image retrieval method integrating HSV color quantization and curve let transform is proposed. By analyzing properties of HSV(Hue,...
This paper describes an approach for extracting words, textlines and text blocks by analyzing the spatial configuration of connected domain and word contour rectangles on a given document image. The basic idea is that connected components of black pixels and contours can be used as computational units in document image analysis. In this paper, we try to find a spatial feature and overlapped relationships...
This study proposes a novel application of MAS (Multi-agent System) framework for edge detection, which the edge definition is derived from the compositive behavior of the gradients of different sample distance. The edge feature can be regarded as an extension of traditional gradient-based methods by the product of gradient magnitude on different distance. And then MAS is employed to obtain the maximal...
In this paper, a novel feature named adaptive contour feature (ACF) is proposed for human detection and segmentation. This feature consists of a chain of a number of granules in oriented granular space (OGS) that is learnt via the AdaBoost algorithm. Three operations are defined on the OGS to mine object contour feature and feature co-occurrences automatically. A heuristic learning algorithm is proposed...
Line extraction plays an important role in many applications as mid-level feature description; the problem is how to get accurate location of line effectively. In this paper, the extraction is simplified by edge tracking with adding some constraints which ensure the edge be linked near to the line. It is a strategy that made a feasible way to obtain lines. Following edge detecting, the proposed approach...
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