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It is a difficult task to accurately segment images with intensity inhomogeneity, because most of existing algorithms are based upon the assumption of the homogeneity of image intensity. In this paper, we propose a novel region-based active contour model, referred to as the K-GLIF, which utilizes both global and local image intensity fittings with kernel functions. The model consists of an intensity...
In this paper we propose a new salient object detection method via structured label prediction. By learning appearance features in rectangular regions, our structural region representation encodes the local saliency distribution with a matrix of binary labels. We show that the linear combination of structured labels can well model the saliency distribution in local regions. Representing region saliency...
In this paper, a method of rice integrity detection based on digital image processing technology is proposed. Firstly, the original image is preprocessed with the method of binarization and deburring. Then the adhesion rice is segmented with the segmentation algorithm based on concavity points detection. Finally, contour extraction and optimal threshold are adopted and the rice integrity detection...
Motivated by fuzzy clustering incorporating spatial information, we present a spatially constrained fuzzy hyper-prototype clustering algorithm in this paper. This approach uses hyperplanes as cluster centers and adds a spatial regularizer into the fuzzy objective function. Formulation of the new fuzzy objective function is presented; and its iterative numerical solution, which minimizes the objective...
An economic and simple scheme to obtain wide field range of aerial images is proposed, the scheme includes only an aerial model taking a camera. For the obtained video an automatic image mosaic technique is used. Firstly a lot of feature point pairs are extracted by SIFT (scale invariant feature transform) features between two adjacent frames, and Ransac (random sampling consensus) is used to pick...
The analysis method of quotient space theorem is selected to study the wavelet transform and the conclusion is reduced that wavelet and quotient space theorem is accordant. The quotient space granularity computing theorem and wavelet transform being combined, presented the new segmentation algorithm, experimental results demonstrate that is useful and valid for complicated texture image segmentation.
The research on digital visible human is of great significance and application value. The US Visible Human Project (VHP) created the first digital image data set of a complete human (one male and one female) in 1995. To promote a worldwide application-oriented VHR, more visible human data sets representative of different populations of the world are in demand. The Chinese Visible Human (CVH) male...
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