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A camouflage effect evaluation method based on kernel density estimation

A kernel density estimation and image technology, applied in computing, computer components, image analysis, etc., can solve problems such as time-consuming, manual interpretation, etc., and achieve the effect of strong versatility

Active Publication Date: 2019-03-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, this method relies on manual interpretation, has high requirements for observers, requires a large amount of observer data to ensure the accuracy of the results, and takes a long time

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  • A camouflage effect evaluation method based on kernel density estimation
  • A camouflage effect evaluation method based on kernel density estimation
  • A camouflage effect evaluation method based on kernel density estimation

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Embodiment Construction

[0027] The target characteristic analysis method based on kernel density estimation of the present invention is described in detail below in conjunction with accompanying drawing and a typical embodiment, and this algorithm specifically comprises the following parts:

[0028] Input the image before camouflage, the size is m×n, and select the feature to be analyzed, which can be: pixel-level features, such as the gray-scale brightness value of the gray-scale image and the vector used to describe the color of each point in the color image ; Pixel block-level features, such as edge features, texture features and point features, etc.; regional features, such as gradient direction histograms, etc.

[0029] Specify the target area T with a size of a×b, and automatically generate N random areas of size a×b from other areas as background samples B i .

[0030] Use the selected feature extraction method to extract the feature vector T of the target area, and extract the feature vector...

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Abstract

The invention relates to a camouflage effect evaluation method based on kernel density estimation. The method comprises the following steps of automatically obtaining a background sub-region of a target size; calculating the eigenvectors of images and calculating the distance of samples by a similarity measure method; calculating the parameters of the kernel density estimation model and constructing the background feature distribution model; calculating the matching probability of the target features in the background feature distribution model and further calculating the recognition probability of the features; comparing the recognition probability of the features before and after camouflage to evaluate the camouflage effect. Compared with the current camouflage evaluation method, the method of the present invention has the advantages of not relying on manual interpretation, requiring less sample data, and being applicable to the current arbitrary identification features and the like.

Description

technical field [0001] The invention belongs to the field of computer image processing, in particular to a method for evaluating camouflage effects based on kernel density estimation. The method of the invention can be used to conveniently and accurately evaluate the camouflage effect of the target. Background technique [0002] The evaluation of camouflage effect is of great significance to the national defense field of our country. It can guide our army to strengthen camouflage according to the requirements of the combat environment. Image sensors have the advantages of long detection distance and non-contact, and have been widely used in modern weapons and equipment. Therefore, the evaluation of camouflage effects based on images is of great military significance. [0003] The current target recognition technology is not universal, and it is mainly researched on recognition tasks in specific scenarios. Therefore, camouflage technology needs to be improved for specific re...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46G06K9/62
CPCG06T7/0002G06T2207/30168G06V10/507G06F18/22
Inventor 宫久路闫磊谌德荣王鹏飞彭林科胡宏华陈乾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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