To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave an...
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To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast thresholding. The experimental results show that the method using fractal dimension to fuse dualband infrared images, and then detect targets is superior to use mid-wave or long -wave infrared images detect targets alone.
Techniques of image matching for stereo vision, generated with the aid of a structured light projector, are described, and are used to match primitives. Based on the description function of the primitive, the match ru...
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Techniques of image matching for stereo vision, generated with the aid of a structured light projector, are described, and are used to match primitives. Based on the description function of the primitive, the match rule is designed and four match constraints are used for eliminating the false match. A global to local control strategy is designed to accelerate the match process. This technique is used to obtain 3D measurements of human body, and to establish the surface representation for a computer-aided garment-design system. The results obtained indicate that this technique could also be used to acquire the 3D information for industrial parts and natural objects with smooth surfaces.< >
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