Weak and small object detection method in visible image of unmanned plane

Abstract

The invention discloses a weak and small object detection method in a visible image of an unmanned plane, and mainly solves a problem that the scaling and rotation of shape information in the prior art causes the difficulty in target detection. The method comprises the following steps: (1) inputting an unmanned plane image frame containing a plurality of man objects, extracting two image blocks from the image as target templates, wherein each image block contains one man object; (2) calculating mean values mu, standard deviations sigma and entropies H of the target templates; (3) carrying out the enhancement of the inputted image, segmenting the enhanced image according to the color information, and obtaining a plurality of super-pixel blocks; (4) sequentially carrying out the feature extraction and recognition of all unmanned plane, and completing the primary detection of targets; (5) carrying out the removing of a false target for the image after primary detection, and obtaining the final detection result. The method effectively improves the recognition accuracy of weak and small objects in the visible image of the unmanned plane, and can be used for the visible image or video of the unmanned plane.

Description

technical field [0001] The invention belongs to the field of image processing, and further relates to a detection method for weak and small targets, which can be used in visible light images or videos of unmanned aerial vehicles. Background technique [0002] Unmanned Aerial Vehicle (UAV) is a powered, controllable, unmanned aerial vehicle that can carry a variety of mission equipment, perform a variety of tasks, and can be reused. With the continuous improvement of the performance of UAVs, and its advantages of small size, flexibility, and difficulty in being discovered, UAVs are used in reconnaissance and patrolling, building surveys, aerial map drawing, and clearing obstacles in dangerous environments. And other military and civilian special fields have shown huge application potential, so it has been generally valued by countries all over the world. Target tracking has always been a very important task for UAVs. [0003] Existing drones mainly use two methods to achiev...

AI Technical Summary

Problems solved by technology

The shape of the target in the computer can be understood as the contour of the target or the area surrounded by the contour. Based on different understandings, many shape recognition methods have been proposed, such as Fourier descriptors, edges, invariant moments, centroids, rectangularity, etc. , but there are still great difficulties in the application in complex practical situations, such as the matching difficulties caused by scaling and rotation

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