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Histogram equalizing method based on boundary

A histogram equalization and boundary image technology, which is applied in image enhancement, image data processing, instruments, etc., to achieve the effect of suppressing background noise and reducing gray level merging

Inactive Publication Date: 2006-03-01
CENT ACADEME OF SVA GROUP
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[0051] Such as figure 1 , figure 2 As shown, the boundary-based histogram equalization method provided by the present invention comprises the following steps:

[0052]Step 1, input a video image, calculate the brightness map f(i, j) of the image, the maximum value Max and the minimum value Min of the gray level of the image, and the function f(i, j) represents the pixel in the i-th row and j-th column of the image The brightness information of the point;

[0053] Step 2. Find the edge points on the brightness map:

[0054] Step 2.1, apply the Sobel operator to calculate the Sobel modulus of the brightness image:

[0055] The Sobel operator is a traditional edge detection and extraction operator, which consists of two positive templates, horizontal and vertical, and can detect the edges of the image in the horizontal and vertical directions at the same time;

[0056] Delta _ x = | - ...

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Abstract

The present invention provides a histogram equalization method based on boundary. Said method includes the following steps: 1. calculating brightness value of video image; 2. fetching edge point of image brightness graph; 3. making histogram equalization to obtain gray-level mapping function; 4. for gray-level mapping function adding control factor; and 5. for brightness image making gray-level conversion.

Description

technical field [0001] The invention relates to a boundary-based histogram equalization method. Background technique [0002] Histogram equalization is a commonly used image enhancement technology. Its advantage is that it can automatically enhance the contrast of the entire image, it expands the dynamic range of the image, and the resulting image density distribution becomes flat, but its specific enhancement effect is not easy to control. The result of the processing is always a global equalized histogram, and for some gray levels with a small gray frequency, they will be merged, resulting in a decrease in resolution and a visually obvious sense of rigidity; after the histogram is equalized, the It will increase the background noise, and the average value of the processed image is always near the median value of the gray scale range, which has nothing to do with the average gray scale of the original image. [0003] The Chinese patent with the application number 99122874....

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Application Information

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IPC IPC(8): G06T5/40
Inventor 袁野侯钢王国中
Owner CENT ACADEME OF SVA GROUP
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