Image binaryzation system based on adaptive window and smoothness threshold value method

Abstract

The invention discloses an image binaryzation system based on an adaptive window and a smoothness threshold value method. The system comprises an image graying module, a smoothness threshold calculating module, an image binaryzation module and a special area searching module. The image graying module performs graying of an input image. The smoothness threshold calculating module calculates the smoothness threshold value of the image to generate a smoothness threshold value table. The image binaryzation module performs image binaryzation according to the smoothness threshold value table. The special area searching module searches a special area in the image according to a binary image. The system adopts the smoothness threshold value method to perform image binaryzation, has a good adaptability for images in different conditions, can obtain good binary effects for situations of special color characters, uneven illumination, noise influences, image blurring and low contrast of the image. The system ensures the binary effect of a common image and also can deal with situations of low resolution and complex illumination scenes well.

Description

technical field [0001] The invention relates to an image binarization system based on adaptive window and smooth threshold method. Background technique [0002] Binarization is a common method of image segmentation. By setting each pixel of the image as the foreground and background, the content of the user's attention can be obtained. Traditional binarization methods can be divided into two categories: global threshold method and local threshold method. The advantages and disadvantages of the two methods are described below by taking the binarization of license plate images as an example. [0003] Global threshold means that all pixels in the whole image use the same binarization threshold. Common methods include mean threshold, median threshold, iterative method and Ostu method. [0004] The advantage of global thresholding is that the binarized image has less noise and almost no artifacts. Artifacts refer to the foreground that the obvious background in the original ima...

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Problems solved by technology

[0009] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a kind of image binarization system based on self-adaptive window and smooth threshold value method, system adopts smooth threshold value method to carry out image binarization, there is comparative advantage for the image of various situations Good adaptability, good binarization effect can be obtained for special color characters in the image, uneven illumination, noise influence, blurred image, and low contrast

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