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An individual may be interested in inquiring the speed of different objects commonly shown in our daily lives. Human mind can detect moving objects easily and same can be done with computer using single camera. There are devices which can measure speed mostly these uses frequency transmit and receive to estimate speed. Cameras also can be used to measure speed of objects by using image processing...
The Wavelet Transform remained quite rapidly used technique today for analysing the signals. For image edge detection, wavelet transform provides facility to select the size of the image details that will be detected. Wavelets transform separates the lower frequencies and higher frequencies easily, which is prime important for edge detection. The wavelet scale sets the size of detected edges. For...
In this paper, an improved ant colony optimization based approach for image edge detection is proposed. The algorithm use ant colony clustering approach to extract edge feature. The approach set the heuristics information function and the initial cluster, thus avoiding the search blindness which carried out by traditional ant colony algorithm. And a series of simulation experiments demonstrate the...
In this paper, we present a novel binarization method for infrared images. Such images are characterized by low contrast, fuzzy edges and more complex with their histogram distributions. If we only apply a global or local threshold, these images will lose a lot of edges and detail information, or ignore the contours of objects. To address this issue, the proposed method combines the advantages of...
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In...
Image registration is an important task in the field of computer vision and pattern recognition. And the applied values is also reflected in the study of remote sensing, medical imaging and the object indentifying of multi-sensor fusion. In this paper, a new subpixel registration methods which based on wavelet analysis was proposed by improving polynomial subdivision algorithm and pixel level registration...
Wavelets transform have been extended to image process and achieve a lot of good results in the field. However, it is of congenital defects. So many new methods are generated based on it. Wedgelet transform is a better method among them. Wedgelet transform is a kind of multi-resolution method which can represent anisotropy of image. We induce the theory of wedgelet transform, in this paper, and apply...
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