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Otsu thresholding method with mask

A masking and thresholding technology, applied in the field of Otsu thresholding, can solve problems such as wrong segmentation, achieve performance improvement and simple principle

Pending Publication Date: 2021-12-31
XIAMEN UNIV OF TECH
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Problems solved by technology

If the gray value of the defective part is close to 0, this method will cause serious mis-segmentation

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  • Otsu thresholding method with mask
  • Otsu thresholding method with mask
  • Otsu thresholding method with mask

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Embodiment Construction

[0045] The technical solutions and beneficial effects of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0046] Such as figure 1 As shown, the present invention provides a kind of Otsu thresholding method with mask, combines mask in the application of maximum inter-class variance method (Otsu), we call it MaskOtsu algorithm, its core idea is by using mask to image Selective shielding and penetration are carried out, so that the algorithm only counts the pixel values ​​inside the mask when calculating the variance between classes, and the pixel values ​​outside the mask are no longer input into the algorithm, so as to achieve the purpose of dividing and conquering in the thresholding process; The invention specifically includes the following steps:

[0047] Step 1, design the mask.

[0048] First, determine the number of masks according to the nature of the target object and the image processing task, denoted as f m ; ...

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Abstract

The invention discloses an Otsu thresholding method with a mask. The method comprises the following steps: 1, determining the number of masks and the number of permeation regions in the masks, making a template with the same size according to an original image, and filling a shielding region and a permeation region in the template with a gray scale shielding factor and a permeation factor respectively; 2, taking the Hadamard product of the image and the mask as an extracted target area; 3, calculating the maximum between-class variance in the target region to obtain a threshold value of the thresholding operation of the target region; and 4, carrying out threshold binarization processing on the threshold obtained in the step 3. According to the method, firstly, the image is masked and permeated through the personalized mask design, then, the target area is extracted by using the Hadamard product, and finally, the threshold is determined by only taking the mask area as an object and adopting the maximum between-class variance calculation theory, so that the principle is simple, and the practicability is relatively high.

Description

technical field [0001] The invention relates to the technical field of digital image processing in machine vision, in particular to an Otsu thresholding method with a mask function. Background technique [0002] With the rapid development of technologies such as machine vision, computer vision and artificial intelligence, digital image processing technology has become more and more widely used, such as: industrial non-contact detection, medical image processing, remote sensing image processing, military security, intelligent transportation and smart home, etc. field. In the process of digital image processing, since the accuracy of the segmentation results plays a key role in the processing results, segmenting the real and effective target information from the image is the most important task of image processing. Commonly used traditional image segmentation methods include: region segmentation, threshold segmentation, and edge detection, among which threshold segmentation i...

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/136G06K9/62
CPCG06T7/0004G06T7/136G06T7/13G06T2207/20021G06T2207/20104G06F18/2415
Inventor 钟铭恩赵保勇
Owner XIAMEN UNIV OF TECH
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