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Image segmentation method and terminal equipment

An image segmentation and image technology, which is applied in the field of image processing, can solve the problems that affect the image segmentation effect and cannot accurately identify the edge of the image, and achieve the effect of reducing noise interference and fast and accurate segmentation

Pending Publication Date: 2020-06-19
HEBEI UNIV OF ENG
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides an image segmentation method and terminal equipment to solve the problem in the prior art that image edges cannot be accurately identified, which affects the image segmentation effect

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  • Image segmentation method and terminal equipment
  • Image segmentation method and terminal equipment

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Embodiment Construction

[0048] 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.

[0049] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0050] figure 1 It is a schematic flowchart of the implementation of the image segmentation method provided by the embodiment of the present invention, and is described in detail as follows.

[0051] Step 101, acquiring an image to be segmented, and performing high-fr...

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Abstract

The invention is suitable for the technical field of image processing, and provides an image segmentation method and terminal equipment, and the method comprises the steps: carrying out the high-frequency enhancement of the light of a to-be-segmented image, and obtaining a first image; performing bilateral filtering processing on the first image to obtain a second image; performing gradient calculation on each pixel point of the second image and applying non-maximum suppression to obtain a third image; calculating gray value thresholds of a target area and a background area of the third imageaccording to the gray value of the third image; and segmenting the third image according to the gray value threshold. According to the method, image high-frequency enhancement processing and bilateralfiltering processing are carried out; according to the method, the clearer image is obtained, the influence of weak illumination on the segmentation effect is solved, then the proper gray value threshold value is automatically selected, and the target area is identified, so that the interference of noise is effectively reduced, the target area of the image is rapidly segmented, and an edge breakage phenomenon does not exist.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image segmentation method and terminal equipment. Background technique [0002] Usually, before image recognition, it needs to be segmented, and then recognition and other processing are sequentially performed on the segmented image. The key to image segmentation is to identify the image edge. Because the image edge determines the image contour, it becomes the key part of the background area and target area segmentation, so the image edge detection technology has become the focus of research. At present, differential operators are the most popular classical edge detection operators. For example, differential operators include Soble operator, Laplace operator, and Canny operator, etc., but each differential operator has its applicable range, and in the processing process There are limitations in . Among them, the Canny operator is a relatively mature algo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/13G06T7/136G06T7/194
CPCG06T7/11G06T7/13G06T7/136G06T7/194
Inventor 王宁韩院彬
Owner HEBEI UNIV OF ENG
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