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Edge detection using MATLAB
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Application background Edge can be defined as the discontinuity in the intensity of the image in the landscape structure, which is mainly present in the target, the target, the target, the background, the region and the region (including the different colors). Edge is one of the most basic image features: 1, can express the characteristics of objects, the edge of the image of the majority of information. 2, edge features for image change is not sensitive (geometric changes, gray change, light direction). 3, it can provide useful information for object detection (image scene recognition and understanding, image segmentation and other important features). 4. It is a typical image preprocessing procedure.
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The image is processed by Fu Liye transform
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Application background Fu Liye transformation describes how to decompose a function into a set of orthogonal basis functions, as we decompose the points in Euclidean space into a set of basis vectors.If you need to move the frequency domain from the origin point (0, 0) to the center of the screen to display the center point as long as f (x, y) multiplied by (-1) x+y factor to achieve the Fourier transform.Most of the sharp detail information in the image is contained within 8% of the power that is filtered out, with the increase of the filter radius, the power is reduced, and the blur is reduced.
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Opencv camera image processing and retrieval
1.0
Application background Here the image encoding in VS2010 and opencv2.4.9 environment to collect camera and the camera to capture processing. Step 1: initialize the camera. The second step: set the image properties. The third step: get a frame of the image, the fourth step: display the image cvshowimage (). Fifth step: save the image. Sixth step: the image threshold segmentation. The seventh step: the image of binarization processing.
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