A sea antenna detection method based on image partitioning and texture features

Abstract

The invention discloses a sea antenna detection method based on image division and texture features, comprising the following steps: 1) obtaining a color sea surface image; 2) converting the originalcolor image into a gray-scale image; 3) carrying out Gaussian filtering processing on the gray-scale image by using a Gaussian filtering frame; 4) uniformly dividing the filtered image into a plurality of regions along the vertical direction, respectively calculating the gray level co-occurrence matrix and the contrast parameters of the gray level co-occurrence matrix with the distance between thepoint pairs being 1 vertically downward in each region direction; 5) calculating the ratio of the contrast of the co-occurrence matrix of each region and the previous region, wherein the region withthe lar ratio is the region where the sea antenna is located; 6) calculating the gradient in the vertical direction of the selected region, obtaining a threshold value by using a maximum inter-class variance method, and taking pixel points whose gradient value is great than the threshold value as candidate points for straight line detection; 7) hough transform straight line detection is carried out, and that best straight line detect is sea antenna. The method of the invention can effectively detect the position of sea antenna in sea surface image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a sea antenna detection method based on image division and texture features. Background technique [0002] Sea antenna detection is an important part of maritime navigation and unmanned detection on the sea surface. With the increasing application of unmanned ships in sea surface patrol and sea search and rescue, image processing technology is also increasingly applied to sea surface detection. Among them, sea antenna detection is of great significance in sea surface detection. The sea surface image can be divided into seawater and sky through sea antenna detection, which narrows the search range for further target detection, which is of great significance for reducing the calculation amount of follow-up work. At the same time, the sea antenna detection divides the image area into two parts, which can eliminate the influence of sky clouds, haze and background on the co...

AI Technical Summary

Problems solved by technology

However, these methods all obtain candidate points through global search and judgment on the entire image. The selection of candidate points is related to the edge features of the image. Therefore, many interference points in sea surface ripples and sky clouds are selected as candidate points, making the final fitting The obtained sea antenna deviates from the sea antenna in the actual image, and even the fitted sea antenna is distributed between clouds or ripples

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