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Image matching is the process of matching corresponding features of the same scene taken at different viewpoints, different times or by different sensors. In multi-viewpoint image matching, there are significantly geometric deformations and difference of content between reference and sensed images in the same scene. So, they increase much more difficulties for image matching. Generally, feature-based...
Characteristic marks on the cartridge can be viewed as a ??fingerprint?? for identification of a firearm. Sometimes, however, not all information can be obtained from just one image due to the limitations of microscope and the unsmoothed specimen surface in the cartridge case image detection. Image mosaic that refers to the combination of two or more images into a single composite image is precisely...
At present, the biometric verification methods have attracted more and more the attention of researchers, and palm print verification as an important method, with its stable and rich features, has been widely used and highly development prospects. However,in feature extraction stage, traditional Gabor often uses fixed parameters to extract feature of all samples, which is not only a waste of a great...
Iris registration aims at processing many iris images which collected from the same person, these images are different in pupil size, texture and so on. The study in this research field is very valuable. In this paper we have proposed that apply curve fitting technology in iris registration. First, the Harris corner detection has been employed to check the feature of iris images, followed we have...
Image segmentation is often required as a preliminary and indispensable stage in the computer aided medical image process, particularly during the clinical analysis of magnetic resonance (MR) brain images. The segmentation of magnetic resonance image (MRI) is a challenging problem that has received an enormous amount of attention lately. In this paper, we propose a simple and effective segmentation...
Visual attention plays a vital role for humans to understand a scene by intuitively emphasizing some focused objects, and recent work in the computational model of visual attention has demonstrated that a purely bottom-up approach to identify salient regions within an image can be successfully applied to diverse and practical problems. Being aware of this, we propose a new approach of extracting objects...
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