Method for recognizing insulator image on the basis of Canny edge detection algorithm

Abstract

The invention discloses a method for recognizing insulator image on the basis of the Canny edge detection algorithm. The method comprises following steps: 1. pre-treating an insulator image taken by a camera in an electric transmission line field; 2. performing edge detection to the image on the basis of Canny operators; 3. performing morphological erosion operation to the image; 4. performing insulator extracting and recognizing by use of Hough transformation line detection. By use of the method, insulators can be accurately located and identified in complicated electric transmission line fields, and the interference of complicated environment can be effectively avoided.

Description

technical field [0001] The invention relates to an image recognition technology method, in particular to an insulator image recognition method based on Canny edge detection algorithm. Background technique [0002] At present, regarding the identification of insulators, many traditional methods have been proposed. Different traditional methods have their own advantages and disadvantages: from the perspective of color characteristics, the best entropy threshold segmentation algorithm based on morphological algorithm for insulators is obtained to segment the S component. Fig. 1. Calculate the shape eigenvalues ​​of the insulator and the background area by restoring the image and filtering the grayscale information, and design the classification decision-making conditions; It has the advantage of stability; in addition, there is also the use of projection characteristics as a recognition idea, using side projection to search for insulators directly from the image; in order to ...

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Problems solved by technology

In order to solve the problem of extracting a single insulator disk in an insulator string, this method uses the least squares method to perform ellipse fitting on the edge of a single insulator disk; in addition, the method of self-organizing mapping is used to identify the partial discharge of the insulator, and the obvious partial discharge is used Non-linear PCA method extraction, while using SOM (Self-Organizing Map) network as the detection method, using 250 field-tested eigenvectors of partial discharges for experimental verification, this method has high identification costs, low security, and consumes equipment Larger, generally speaking, the applicability is relatively low

[0004] In summary, none of the above traditional methods can effectively improve the detection and identification of insulators in complex environments.

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