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In order to enhance the space images photographed in different time or in different views, a new image enhancement approach based on image registration is proposed in this paper. The structural features named triangular feature are made by the corners detected by an improved Harris method, and then they are matched by the Triangle congruence criteria. The centers of the matched triangles are fine...
Image segmentation is very essential and critical to image processing and pattern recognition. In order to extract the feature stars, a novel method for image segmentation by use of nonsubsampled contourlet transform (NSCT) is provided by this paper. The space images are transformed by the NSCT, and then the magnitude of the NSCT coefficients of all the directional subbands at a specific level are...
The accuracy of observation model to represent of natural object is critical to performing robust visual tracking in complex scenarios. In this paper, we propose an object observation model by considering three integrated feature components, i.e. the template component depicting the object structure in every time instant; the contour component characterizing the object shape evolution with local deformation,...
In order to extract the flat feature stars, which are used to implement the space image registration, a feature descriptor based on WLD (Weber Local Descriptor) and feature dynamic selection method is proposed in this paper. Firstly, the feature stars are extracted and described by excitation and orientation using the WLD transform. Then we utilize a dynamic feature selection algorithm (DFSA), which...
In order to align the astronomical images with the characteristics of serious noise and smoothing edges, we propose an astronomical image registration based on the nonsubsampled contourlet transform (NSCT) and a new evaluation criterion to estimate the results of the registration. The registration algorithm includes coarse registration and fine registration. According to the shift-invariance of the...
In this paper we address the problem of recovering object contour in infrared video sequences using active contours and level set methods. We propose an approach for variational segmentation of infrared images containing non-rigid, moving objects. The local regions-of-interest (ROIs) are identified firstly using statistical background-subtraction method. While the initialization of background model...
This paper presents a novel speckle noise suppression and SAR image compression scheme in discret wavelet domain. First, in the novel speckle noise suppression, a modified soft-thresholding denoising method was applied to reduce speckle noise and it can protect more edge information at the meantime. Then, a new SAR image compression structure based on JPEG2000 was presented. The efficiency of the...
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