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Cast shadow is a common phenomenon in remote sensing (RS) images. Dark vegetation areas in RS images are apt to be mis-detected in shadow detection. In this paper, an improved shadow detection method was presented base on the spectral feature of shadows. Based on the green component is larger in vegetation areas, construct the mask of vegetation areas. Aim to the complex areas of urban images, detect...
Recently, many vision applications tend to utilize saliency maps derived from input images to guide them to focus on processing salient regions in images. In this paper, we propose a simple and effective method to quantify the saliency for each pixel in images. Specially, we define the saliency for a pixel in a ratio form, where the numerator measures the number of dissimilar pixels in its center-surround...
In this paper, we propose a novel unsupervised clustering method for feature space analysis. We combine mean shift with a transductive learning method, semi-supervised discriminant analysis (SDA), in an incremental learning scheme. We use mean shift clustering to generate the class label, and use SDA to do subspace selection. Both these steps are performed alternately. Our clustering result could...
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random straight line segments, as the intermediate level vision tokens, to approximate the salient contours. This line set is modeled by a stochastic framework, marked point process, in which the point denotes the center of lines,...
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