Yangxing Liu

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Text detection in color images has become an active research area since recent decades. In this paper, we present a novel approach to accurately detect text in color images possibly with a complex background. First, we use an elaborate edge detection algorithm to extract all possible text edge pixels. Second connected component analysis is employed to(More)
SUMMARY Text detection in color images has become an active research area in the past few decades. In this paper, we present a novel approach to accurately detect text in color images possibly with a complex background. The proposed algorithm is based on the combination of connected component and texture feature analysis of unknown text region contours.(More)
Rectangular shape object detection in color images is a critical step of many image recognition systems. However, there are few reports on this matter. In this paper, we proposed a hierarchical approach, which combines a global contour-based line segment detection algorithm and an Markov random field (MRF) model, to extract rectangular shape objects from(More)
Traffic sign detection is a valuable part of future driver support system. In this paper, we present a novel framework to accurately detect traffic signs from a single color image by analyzing geometrical, physical and text/symbol features of traffic signs. First, we utilize an elaborate edge detection algorithm to extract edge map and accurate edge pixel(More)
Triangular shape object detection in color images is an important issue in computer vision. However, there are few reports on this matter. In this paper, we proposed a novel approach, which combines a global contour based line segment detection algorithm and Markov Random Field (MRF) Model, to extract triangular objects from color images. First, we use an(More)
Object detection is a critical step of many image recognition systems. In this paper, we discussed the circular shape object detection problem in still color images. The proposed method has an important feature of integrating color image edge extraction result with a novel circle parameter determination algorithm efficiently. First, an accurate isotropic(More)
Elliptical object detection in color images is an important step of many image recognition systems. In this paper, we present a novel approach to accurately detect elliptical objects in color images. The proposed method has an important feature of integrating color image edge detection result with a novel ellipse parameter estimation algorithm efficiently.(More)