Image feature rapid matching method and system applied to mine machine vision

A technology of image features and matching methods, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as low accuracy, low efficiency, and poor real-time performance

Pending Publication Date: 2020-10-23
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a method and method for fast matching of image features applied to

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  • Image feature rapid matching method and system applied to mine machine vision
  • Image feature rapid matching method and system applied to mine machine vision
  • Image feature rapid matching method and system applied to mine machine vision

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Embodiment Construction

[0064] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0065] method embodiment

[0066] A specific embodiment of the present invention discloses a method for quickly matching image features applied to mine machine vision. Such as figure 1 As shown, the method includes:

[0067] Step 1. Use the CBDNet network to perform denoising processing on the image to be analyzed. The image to be analyzed is the intercepted mine video frame image.

[0068] Step 2. Perform superpixel segmentation on the image to be analyzed obtained by denoising to obtain multiple image blocks.

[0069] Step 3. Calculate the information entropy of each image block, and ob...

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Abstract

The invention relates to an image feature rapid matching method and system applied to mine machine vision, belongs to the technical field of mine safety, and solves the problems of low mine abnormal condition detection efficiency, poor real-time performance and low accuracy in the prior art. The method comprises the following steps: denoising a to-be-analyzed image; performing super-pixel segmentation to obtain a plurality of image blocks; calculating the information entropy of each image block, and obtaining the image blocks with the information entropy larger than a first preset threshold value; extracting feature points of the image blocks by using an SURF algorithm so as to obtain a feature point set of the to-be-analyzed image; describing feature points in the feature point set by adopting a Harr wavelet method to obtain a feature point descriptor set of the to-be-analyzed image; and matching the feature points in the feature point set of the to-be-analyzed image with the featurepoints of the target image based on the feature point descriptor set of the to-be-analyzed image to confirm whether the mine is abnormal or not. The method can quickly and accurately detect whether the mine is abnormal or not, and is beneficial to the technical processing of the mine abnormality.

Description

technical field [0001] The invention relates to the technical field of mine safety, in particular to a method and method for quickly matching image features applied to mine machine vision. Background technique [0002] In recent years, with the rapid development of science and technology and the improvement of the coal industry system, coal mining has gradually developed in the direction of safety, efficiency and automation. The main form of coal mines in my country is underground mines. Belted. Belt conveyors have become the main tool for coal transportation in various coal mines. In the process of coal transportation, there may be abnormal situations such as large coal piles, anchor rods inserted and torn belts, etc., causing damage to equipment and burying hidden dangers for underground safety. Install a camera on the top of the coal conveying belt conveyor, use the video processing method to analyze each frame of the video captured by the camera, control the belt speed ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/40G06K9/46G06K9/62
CPCG06V20/46G06V10/26G06V10/443G06V10/30G06V10/56G06F18/2321G06F18/22G06V10/751G06V20/52G06T7/001G06T2207/10016G06T2207/20076G06T2207/30108G06T2207/30181G06V10/761
Inventor 程德强王雨晨李海翔寇旗旗陈亮亮赵凯高蕊付新竹
Owner CHINA UNIV OF MINING & TECH
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