Title :
Texture Feature Analysis on Erosion and Wear in Artillery Chamber
Author :
Fu Xiao-ning ; Li En-ke ; Gao Wen-jing
Author_Institution :
Sch. of Electromech. Eng., Xidian Univ., Xi´an, China
Abstract :
Interior ballistic performance, which is an important tactical characteristic of the gun, is affected directly by erosion and wear of the bore. With the more and more application of the gun in the modern war, the researches on erosion-wear and its influence on the interior ballistic performance have become important. In the past several years, photoelectric test technology has become the key technology in artillery bore peeping and measurement. With lots of image information, we could appropriately test the erosion and wear in artillery chamber. The image data shows that there would be a certain relationship between the texture features of the erosion and wear image and the total round number that the gun has shoot during its useful life. In this paper, the relationship was established along with the erosion and wear feature was extracted by an improved algorithm based on the Differential Box Count. It is showed by our elementary experiment that the relationship proposed has a better coefficient of correlativity than the existing one and easy to operate.
Keywords :
ballistics; erosion; feature extraction; image texture; military computing; wear; artillery bore measurement; artillery bore peeping; artillery chamber; differential box count; erosion; gun tactical characteristic; image data; image information; interior ballistic performance; modern war; photoelectric test technology; texture feature analysis; wear image; Boring; Copper; Fires; Fractals; Information analysis; Information security; Performance analysis; Physics; Temperature; Testing; artillery; electro-optical chamber peeping; improved DBC; life-span evaluation; texture;
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
DOI :
10.1109/IAS.2009.164