Method and system for processing adaptive images
An image processing and adaptive technology, applied in the field of image analysis, which can solve the problems of not being able to detect two areas at the same time, unable to detect the foreground, etc.
Active Publication Date: 2013-01-02
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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But neither window can detect both areas at the same time
[0013] Therefore, the local gray threshold method with a fixed window size cannot detect foregrounds with large size changes (for example, there are larger objects in the foreground and smaller objects), which is why local thresholds are currently mostly used for text image segmentation. , because the size of the foreground of the text image is basically the same
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[0126] In the third embodiment, binarization to reduce the search range of the window is performed once. In other embodiments, binarization to reduce the search range of the window may be performed multiple times, and then all binarization results are combined. Figure 14 It uses the adaptive image processing method of embodiment three to Picture 9 The image shown is a binary image obtained after processing, where k1 is taken as 0.25. It can be seen that with Picture 11 In contrast, a few small details have been restored.
[0127] It should be noted, Picture 9 The gray scale of the foreground of the image shown has a wide range (6-117), and any currently known overall gray scale threshold method cannot achieve satisfactory results. Figure 15 It is based on the ratio range of the foreground in the area of interest to calculate the overall gray threshold pair Picture 9 The image obtained by binarization of the image shown uses the method that has been proven to be better based...
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The invention relates to a method for processing adaptive images. The method includes following steps: step A, obtaining interested area images according to original gray scale images; step B, calculating integral images of the interested area images and the original gray scale images; step C, adaptively adjusting size of optimization windows of each pixel point in an interested area according to the integral images of the interested area images and the original gray scale images; step D, calculating gray scale thresholds of each pixel point in the interested area and binarizing by using the local threshold method according to the windows; and step E, outputting binarized images. The invention further relates to a system for processing the adaptive images. By the method and the system for processing the adaptive images, the size of the windows of each pixel point in the interested area can be adaptively adjusted, and obtaining of gray scale thresholds with different sizes and with prospects having obvious differences in brightness / contrast in the interested area can be realized, so that the local threshold method is expanded to be suitable for the field of processing of any other images except for text images.
Description
【Technical Field】 [0001] The invention relates to the field of image analysis, in particular to an adaptive image processing method, and also to an adaptive image processing system. 【Background technique】 [0002] One of the most direct and effective methods for image classification or segmentation is the image gray threshold method. This method compares the relationship between the grayscale g(x,y) at each pixel (x,y) and the grayscale threshold T(x,y) of the pixel. For a dark foreground, the threshold processing is: if g(x,y)<T(x,y), then the pixel (x,y) is set as the foreground, otherwise it is set as the background; for the bright foreground, the threshold processing is : If g(x,y)>T(x,y), then the pixel (x,y) is set as the foreground, otherwise it is set as the background. If the threshold T(x, y) does not depend on (x, y), it is called global thresholding, otherwise it is called local thresholding. [0003] The local threshold method was proposed by Niblack in 1986 (...
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Inventor 胡庆茂
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI