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A method for image edge detection based on threshold sectioning

An image edge and detection method technology, applied in the field of image processing, can solve the problems of difficult information extraction and easy to produce "block effect", and achieve the effect of accurate edge positioning and good image segmentation effect.

Inactive Publication Date: 2008-04-30
BEIHANG UNIV
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Problems solved by technology

This method considers the difference in the distribution of regional gray values, and sets different thresholds for different blocks. To a certain extent, it solves the shortcomings of single-threshold segmentation, but it is prone to "block effect".
[0006] For an image containing complex information, it is difficult for the above methods to extract all the information in the image through one or several thresholds.

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  • A method for image edge detection based on threshold sectioning
  • A method for image edge detection based on threshold sectioning
  • A method for image edge detection based on threshold sectioning

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Embodiment Construction

[0032] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] The invention proposes an image edge detection method based on threshold segmentation. This method uses the gray value mean statistical information of the pixel neighborhood in the image as the threshold setting standard of the point, and introduces the pixel gray value variance in the point neighborhood as an additional judgment condition, so that the extracted target point is the edge of the image. The edge location of this method is accurate, and a good edge detection effect is achieved.

[0034] As shown in Figure 1, an image edge detection method based on threshold segmentation includes the following steps:

[0035] Step 1: Preprocessing the image. In general, it can be considered that the gray value of the target area in the image is lower than that of the background area. Therefore, it can be assumed that some pixels with the highest gray val...

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Abstract

The invention provides an image edge detection method based on threshold segmentation. The method is a novel threshold segmentation algorithm capable of thresholding all points of the image one by one and then sorting. The statistical information of average gray-scale value of the pixel neighborhood region in the image is used as the reference of threshold setting of the point, and the variance of gray-scale value of pixel in the neighborhood region of the point is used as additional judgment condition, so that the overall binarization of the region information is considered comprehensively to ensure the image edge to be extracted as target point. Additionally, the size of structural element for calculating the average value and variance can be adjusted to select the structural elements with different sizes according to different demands. The method can define each pixel with a threshold value, and the overall binarization of region information is comprehensively considered. The invention has good effect of image segmentation and high accuracy of edge positioning.

Description

technical field [0001] The invention belongs to the field of image processing, relates to an edge detection method, in particular to an image edge detection method based on threshold value segmentation. Background technique [0002] Image thresholding is a widely used image segmentation technique. This method first determines a gray threshold within the gray value range of the image, then compares the gray value of each pixel in the image with this threshold, and divides the corresponding pixels into two categories according to the comparison result: The gray value of the pixel is greater than the threshold for one class, and the gray value of the pixel is smaller than the threshold for the other class. These two types of pixels generally belong to the target and background areas in the image, so it is necessary to classify the pixels according to the threshold. Played the role of regional segmentation. [0003] The threshold-based segmentation is one of the most basic pro...

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Application Information

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IPC IPC(8): H04N5/14G06T5/00
Inventor 祝世平夏曦张庆荣
Owner BEIHANG UNIV
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