Unmanned aerial vehicle aerial image electronic delineating method based on click type image segmentation

Abstract

The present invention discloses an unmanned aerial vehicle aerial image electronic delineating method based on click type image segmentation. The method is characterized by constructing a Gaussian mixture model and calculating the texture similarity and the spatial distances between pixels to determine an energy equation, and utilizing an image segmentation algorithm to solve, and comprises the steps of setting the necessary parameters, clicking a to-be-segmented target, calculating the texture similarity between pixels in an image, extracting partial pixel points according to the click positions, determining the Gaussian mixture model according to the pixel points, calculating the probability density belonging to an interested target or an uninterested target in a per pixel point manner, calculating the spatial distances between the pixel points, solving the energy equation according to the image segmentation algorithm, obtaining a segmentation result, processing the segmentation result, and then repeating the above steps until a satisfied result is obtained. According to the present invention, the segmentation of the interested target in an aerial image is realized via a click method, the training is not needed, the method is simple, the processing speed is fast, and the problem that the ideal segmentation result is difficult to obtain in the automatic segmentation, is relieved effectively.

Description

technical field [0001] The present invention relates to the fields of computer vision and image processing, and in particular to a click-based image segmentation-based electronic sketching method for drone aerial images, which is oriented to the application of drone aerial image sketching. Background technique [0002] The invention proposes a point-and-click image segmentation technology, based on which the task of electronic delineation of drone aerial images is completed. As a basic problem in the field of computer vision and image processing, image segmentation is a key step in image analysis and understanding. Its purpose is to divide the image into non-overlapping regions and extract regions of interest. With the development of computer technology and the improvement of its computing power, image segmentation has been widely used in many fields such as video surveillance, biomedicine, and remote sensing—segmenting objects of interest in surveillance videos, reducing ma...

AI Technical Summary

Problems solved by technology

For example, the block clustering method based on fuzzy C-means, but this method is likely to lead to unclear attribution of boundary blocks; image segmentation based on MeanShift overcomes the defects of traditional clustering methods, but it is easy to cause clustering for complex aerial images There are too many centers and too dense, which leads to over-segmentation of the image

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