Fine edge detection method based on deep fusion correction network and fine edge detection device thereof

An edge detection and fine technology, applied in the fields of deep learning, pattern recognition, and computer vision, can solve the problems of inaccurate edge positioning and insufficient edge fineness, and achieve the effect of fine edge visualization results, good detection effect, and increased resolution

Inactive Publication Date: 2018-01-19
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the edge positioning in the image is not accurate enough and the dete

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  • Fine edge detection method based on deep fusion correction network and fine edge detection device thereof
  • Fine edge detection method based on deep fusion correction network and fine edge detection device thereof
  • Fine edge detection method based on deep fusion correction network and fine edge detection device thereof

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[0038] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0039]The main idea of ​​the present invention is: 1) the deep fusion correction network network structure proposed by the present invention utilizes the reverse correction partial network to gradually fuse the characteristics of different scales of the forward propagation partial network; 2) the reverse correction partial network proposed by the present invention is in When fusing the specific scale features of the forward propagation part of the network and the current correction features, after reducing the number of feature channels, the fusion is performed by splicing; , gradually increase the resolution of the feature response, and final...

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Abstract

The invention relates to the field of pattern recognition, computer vision and deep learning, provides a fine edge detection method based on a deep fusion correction network and a fine edge detectiondevice thereof, and aims at solving the problems that edge positioning in the image is insufficiently accurate and the detected edge is insufficiently fine. The method comprises the steps that step S1, the multi-scale features of an input image are acquired through the forward propagation part network of a convolutional neural network; step S2, the final image feature having the same resolution with that of the input image is acquired by using the method of gradually increasing the feature resolution through the reverse correction part network of the convolutional neural network; and step S3,the feature channel of the final image feature is dimensionally reduced into the single channel, and the edge detection result is generated through the fitting function. The network structure is simpler, and the acquired image feature expression further retains detail features so that the detection effect is better and the edge visualization result is finer.

Description

technical field [0001] The invention relates to the fields of pattern recognition, computer vision, and deep learning, and in particular to a fine edge detection method and device based on a deep fusion correction network. Background technique [0002] Thanks to deep convolutional neural networks, fields such as computer vision, artificial intelligence, and machine perception have developed rapidly. Edge detection, as a basic problem in computer vision, has also been greatly developed. Edge detection is to use computer to analyze the image, and then get the edge information of the object in the image. Edge detection is often used as a tool to assist other vision tasks. Traditional edge detection methods generally rely on artificially designed features, which are easily disturbed by light changes, object color changes, and noisy backgrounds. They are not robust in practical applications, and the accuracy is difficult to meet user needs. The edge detection method based on d...

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Application Information

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IPC IPC(8): G06T7/13G06N3/04G06N3/08G06K9/62
Inventor 黄凯奇赵鑫王裕沛
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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