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Method and device for image segmentation, computer readable storage medium and terminal equipment

An image, to-be-segmented technology, applied in the field of image processing, which can solve the problems of noise sensitivity and poor robustness

Inactive Publication Date: 2018-04-20
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

However, this method is sensitive to noise and has poor robustness.

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  • Method and device for image segmentation, computer readable storage medium and terminal equipment
  • Method and device for image segmentation, computer readable storage medium and terminal equipment
  • Method and device for image segmentation, computer readable storage medium and terminal equipment

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Embodiment Construction

[0060] In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0061] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

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Abstract

The invention belongs to the field of image processing, and provides a method and a device for image segmentation, a computer readable storage medium and terminal equipment so as to enhance the robustness of fuzzy image segmentation with noise. The method comprises the following steps that: carrying out local gray-level mapping processing on a to-be-segmented image subjected to Gaussian smoothingto obtain a first image; carrying out mean value filtering on the first image to obtain a second image; according to the category uncertainty and the regional stability of a pixel gray level, constructing an energy function E(t), and solving to obtain the corresponding threshold value toptimum when the energy function E(t) is minimum; and taking toptimum as a segmentation threshold value to segment the to-be-segmented image. By use of the technical scheme provided by the invention, on one hand, an influence caused by uneven grey level distribution can be effectively reduced, on the other hand,the segmentation problem of a fuzzy image under different noise levels can be effectively solved, and the method exhibits better robustness on the image with the noise.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method and device for segmenting an image, a computer-readable storage medium and a terminal device. Background technique [0002] Image segmentation technology is one of the important steps in image processing, visual analysis and understanding tasks, and threshold segmentation method is widely used in medical image segmentation, industrial visual inspection and text image binarization because of its simple and efficient characteristics. However, automatic selection of accurate and robust thresholds is still a challenging work for blurred and noisy images due to acquisition device limitations and environmental influences. [0003] In the past few decades, many scholars have proposed different adaptive threshold selection methods, including two categories: global optimal threshold method and local threshold method. Otsu's method is one of the most classic methods in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136
CPCG06T7/11G06T7/136
Inventor 梁国远王韵陶高明慧武臻王灿吴新宇冯亚春冯伟
Owner SHENZHEN INST OF ADVANCED TECH
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