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Texts on road signs contain important information which is quite useful for potential applications. We proposed a robust method for detecting road sign text from urban street scenes under different weather conditions. First, color Segmentation and morphological operations are employed to obtain candidate regions, and contours of candidate regions are mainly concern. Then, a linear support vector machine...
Aiming to the characteristics of airborne infrared image and digital raster graphic, a hierarchical registration method based on feature is proposed. Firstly, the perspective distortion and rotation of the infrared image are corrected. Secondly, the log-polar technique based on edge features is implemented in order to achieve the preliminary registration result. Thirdly, matching points are selected...
To resolve the problem of large angle and large scale image registration, an improved approach combining log-polar and SIFT is proposed. Firstly, the log-polar technique is implemented in order to achieve the preliminary registration result as well as estimate the arbitrary rotations parameters and large scale changes. Secondly, image is segmented into sub-blocks and six candidates of sub-blocks are...
It is important to determine the stable keypoints and select transformation models for image registration and mosaic. In this paper a method is presented for retinal image mosaic. Central to the new method is to detect the PCA-SIFT (principal components analysis-scale invariant feature transform) feature and estimate the quadratic transformation model which is employed to simulate the anatomy of human...
In this paper, we present a GVF-Snake based method for liver region segmentation on CT images. Firstly, the CT images are enhanced using a method of histogram equalization and anisotropic diffusion filter. Then, a region based method is applied to complement rough segmentation. Finally, an improved generalized gradient vector flow snake model (GVF-Snake) is adopted for the refinement of the rough...
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