Corner Detection in Textured Color Images
نویسندگان
چکیده
Corner models in the literature have lagged behind edge models with respect to color and shading. We use both a region model, based on distributions of pixel colors, and an edge model, which removes false positives, to perform corner detection on color images whose regions contain texture. We show results on a variety of natural images at di erent scales that highlight the problems that occur when boundaries between regions have curvature.
منابع مشابه
Corner Detection in Textured Color
Corner models in the literature have lagged behind edge models with respect to color and shading. We use both a region model, based on distributions of pixel colors , and an edge model, which removes false positives, to perform corner detection on color images whose regions contain texture. We show results on a variety of natural images at diierent scales that highlight the problems that occur ...
متن کاملA New Method for Eye Detection in Color Images
The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...
متن کاملA New Method for Eye Detection in Color Images
The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...
متن کاملCorner detection in color images by multiscalecombination of end - stopped cortical
We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high f...
متن کاملTexture Removal in Color Images by Anisotropic Diffusion
In this paper, we present a new method for removing texture in color images using a smoothing rotating filter. From this filter, a bank of smoothed images provides pixel signals for each channel image able to classify a pixel belonging to a texture region. We apply this classification in each channel image in order to compute two directions for the anisotropic diffusion. Then, we introduce a ne...
متن کامل