本文選題：運(yùn)動(dòng)員　切入點(diǎn)：膝關(guān)節(jié)軟骨挫傷　出處：《計(jì)算機(jī)仿真》2017年10期 　論文類型：期刊論文

【摘要】：對(duì)運(yùn)動(dòng)員膝關(guān)節(jié)軟骨挫傷圖像的特征點(diǎn)匹配,能夠?qū)\(yùn)動(dòng)員膝關(guān)節(jié)軟骨撕裂挫傷進(jìn)行更精確的診斷。對(duì)圖像的特征點(diǎn)匹配,需要通過(guò)兩個(gè)像點(diǎn)間的相關(guān)系數(shù)函數(shù),對(duì)兩個(gè)圖像點(diǎn)集進(jìn)行匹配,完成對(duì)挫傷圖像的特征點(diǎn)匹配。傳統(tǒng)方法根據(jù)膝關(guān)節(jié)軟骨挫傷方塊的角點(diǎn)數(shù)信息,得到圖像基本輪廓,但忽略了對(duì)圖像點(diǎn)集的匹配,導(dǎo)致特征點(diǎn)匹配精度偏低。提出基于邊緣輪廓角點(diǎn)分割的運(yùn)動(dòng)員膝關(guān)節(jié)軟骨挫傷圖像特征點(diǎn)匹配方法。融合于像點(diǎn)特征相關(guān)性原理構(gòu)建運(yùn)動(dòng)員膝關(guān)節(jié)軟骨挫傷圖像采集模型,利用閾值降噪方法對(duì)采集的圖像進(jìn)行降噪濾波預(yù)處理,得到三維虛交點(diǎn)坐標(biāo),融合于雙向權(quán)值匹配方法計(jì)算出兩個(gè)像點(diǎn)間的相關(guān)系數(shù)函數(shù),并利用上述函數(shù)對(duì)兩個(gè)圖像點(diǎn)集進(jìn)行匹配,依據(jù)匹配的結(jié)果完成對(duì)運(yùn)動(dòng)員膝關(guān)節(jié)軟骨挫傷圖像特征點(diǎn)匹配。實(shí)驗(yàn)結(jié)果表明,所提方法特征點(diǎn)匹配精度較高,可以為運(yùn)動(dòng)員膝關(guān)節(jié)軟骨挫傷診斷提供客觀的依據(jù)。
[Abstract]:To match the characteristic points of athletes' knee articular cartilage contusion images, it is possible to make a more accurate diagnosis of the athlete's knee cartilage laceration contusion, and to match the characteristic points of the images, we need to pass the correlation coefficient function between the two image points. The traditional method is based on the angle number information of articular cartilage contusion square to get the basic contour of the image, but neglects the matching of the image point set. Because of the low accuracy of feature point matching, this paper presents a method of feature point matching based on edge contour corner segmentation of athletes' articular cartilage contusion image. The image acquisition model of athlete's knee articular cartilage contusion image is constructed by combining the image point feature correlation principle with the image point feature correlation principle. Using the threshold denoising method to pre-process the image acquired by de-noising filtering, the three-dimensional virtual intersection coordinates are obtained, and the correlation coefficient function between the two image points is calculated by combining the two-way weight matching method. The above function is used to match the two image points set, according to the matching results, the feature points of the athletes' knee articular cartilage contusion image are matched. The experimental results show that the proposed method has a higher matching accuracy. It can provide objective basis for diagnosis of articular cartilage contusion of athletes.
【作者單位】： 山東大學(xué)(威海);
【分類號(hào)】：R873;TP391.41

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