Method for detecting bird nests in power transmission line poles based on unmanned plane images

Abstract

The invention provides a method for detecting bird nests in power transmission line poles based on unmanned plane images, which is method of perceiving and analyzing power transmission line structure features. Firstly, line segments in different directions are extracted from a polling image, a Gestalt perception theory is adopted to merge small interrupted line segments, and the merged line segments are clustered into parallel line sets. Then, the image is divided into 8*4 blocks according to a structural feature (nearly symmetrical intersection feature) of a pole in the image, the quantity statistics of line segments in four different directions in each block is analyzed, and an area where the pole is in the image is detected. The invention provides a bird nest detection method which fuses colors and textures. Firstly, an area of color consistency in an image is obtained by mean-shift cluster segmentation. Then, according to features of an H histogram of a bird nest sample, multiple areas which are most similar to the bird nest sample in the image are selected as candidate areas of a bird nest through a histogram interaction method. Then, three co-occurrence matrix features of entropy and inertia moments and dissimilarity, which can best represent the bird nest, are selected to calculate texture features of the candidate areas of the bird nest. Finally, matching between each candidate area of the bird nest and the bird nest sample texture similarity is carried out to achieve the bird nest detection.

Description

technical field [0001] The present invention relates to an unmanned aerial vehicle picture Like the method of automatically detecting bird's nests on transmission line towers. In particular, it relates to a detection method for bird nests on transmission line towers based on color, texture, and shape. The method can conveniently locate the position of bird nests on transmission line towers, thereby effectively improving the intelligence of transmission line management. Background technique [0002] Bird damage is a worldwide issue, which seriously threatens the safe operation of high-voltage power transmission lines in many countries. Our country is no exception. With the continuous increase of high-voltage transmission overhead lines and the gradual improvement of the ecological environment in my country, bird damage accidents have increased significantly, and the losses caused by bird damage have also increased significantly, posing a serious threat to the safe operation...

AI Technical Summary

Problems solved by technology

Difficult to get from picture Find out the rules of specific power components on the image, making it extremely difficult to identify and diagnose components based on visible light

At present, there are few research documents and related research reports published in this area at home and abroad.

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