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Running time and detection results of LSD line det
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Application background The goal of LSD is to detect the local image of the straight profile. This is what we call a straight line segmentation, LSD is a straight line detection segmentation algorithm, which can be obtained in the linear time of sub pixel level accuracy of the test results. The algorithm is designed to be able to adjust the parameters on any digital image. It can control the number of false positive control: on average, each picture has a false test. Key Technology The goal of LSD is to detect the local image of the straight profile. This is why we call it a straight line. Contour is a special area in the image, in which the gray level of the image is changed from black to white, or from white to black. Therefore, the gradient and level-line are two important concepts
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Gray level image histogram equalization
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Application background Achieve image histogram equalization, do preprocessingFunction cvEqualizeHist uses the principle of the input image histogram equalizationNormalized image luminance and contrast enhancement of the methodHistogram equalization of color image Key Technology CvEqualizeHist void (CvArr* SRC const, DST CvArr*);Function cvEqualizeHist uses the following rule to balance the input image:The histogram of the input image HHistogram normalized, so the straight square and the 255Calculated histogram integral:Using H'as the query table: DST (x, y) =H' (SRC (x, y)) for image transformation.Normalized image luminance and contrast enhancement of the method.
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