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A Spiking-based Image Corner Detection Method

A corner detection and image technology, applied in image enhancement, image analysis, image data processing, etc., to achieve accurate corner detection, improve computing speed, and optimize network connection methods

Active Publication Date: 2018-07-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

The Spiking neuron model has been widely studied in biology, neurology and other disciplines, but its application in the field of engineering is still in its infancy

Method used

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  • A Spiking-based Image Corner Detection Method
  • A Spiking-based Image Corner Detection Method
  • A Spiking-based Image Corner Detection Method

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Experimental program
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Effect test

Embodiment Construction

[0033] The image-based Spiking corner detection method is as follows:

[0034] (1) Extract the edge of the image based on the traditional method, and get the edge of the image. The experimental results are as follows: Figure 5 , Figure 7 , the edge extraction results of simple digital images and complex images.

[0035] (2) Use linear delay coding to time code the image of the edge extracted in step (1) to obtain the image pulse ignition time. The specific coding structure diagram is as follows figure 1 As shown, the pulse time encoding formula is as follows, and the image pixel points are encoded according to the following formula to obtain the image pulse ignition time.

[0036] a=T-|x i -T s |

[0037]

[0038] This encoding scheme takes a relative time Ts as the standard, and encodes any real number xi with encoding to its ignition time relative to Ts. Where ti is the time value after encoding, T is the constant time encoding measure, and Ts is set as the curren...

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Abstract

The invention discloses a Spiking-based image corner point detection method, which belongs to the technical field of image processing and solves the problem of low corner point detection accuracy and lack of interpretation of time and space features in the prior art. The present invention proposes an image corner detection method based on the Spiking neural network. The algorithm uses the Spiking neuron template to scan the image, and determines the image corner according to the voltage change of the detection neuron, etc., which can be better for Image corners are detected. Spiking neural network uses voltage to represent information intensity, and uses pulse to transmit information. Since this information representation method based on pulse has strong timing, the present invention uses the advantages of Spiking neural network to study image corners based on Spiking neural network. Feature detection. The invention is applied to computer vision occasions involving corner point applications such as feature extraction of image corner points, optical flow calculation, target recognition, tracking, motion estimation and three-dimensional reconstruction. Involves Spiking neural network, machine learning.

Description

technical field [0001] A corner detection method based on Spiking, the invention is applied to image corner feature extraction, optical flow calculation, target recognition, tracking, motion estimation, three-dimensional reconstruction and other computer vision occasions involving corner applications. Involves Spiking neural network, machine learning. Background technique [0002] The corner feature of the image is an important feature in image processing, and its feature has strong robustness, and has the characteristics of rotation invariance and no change with illumination. This feature plays a very important role in moving target tracking, streamer calculation, motion evaluation and analysis, and construction of 3D scenes. Regarding the definition of corner points, the relatively unified statement so far is: the edge point with the largest local curvature has many corner points for a general image, so the method of related research has strong universality and versatilit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20084G06T2207/20164
Inventor 屈鸿陈常乐解修蕊陈珊马桂垚丁小云张马路曾志
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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