本文選題：腦部損傷 + 圖像　； 參考：《計(jì)算機(jī)仿真》2017年11期

【摘要】：對(duì)腦部損傷CT圖像目標(biāo)點(diǎn)的定位,能夠有效提高醫(yī)學(xué)上對(duì)腦損傷的診斷效率。對(duì)腦部損傷CT圖像目標(biāo)點(diǎn)的定位,需要獲取腦部損傷標(biāo)記邊緣點(diǎn)的集合,提取其連通區(qū)域目標(biāo)點(diǎn),完成圖像目標(biāo)點(diǎn)的定位。傳統(tǒng)方法在平滑后的梯度圖像中提取標(biāo)記,給出標(biāo)記閾值,但忽略了提取邊緣點(diǎn)連通區(qū)域目標(biāo)點(diǎn),導(dǎo)致定位精度較低。提出基于模糊聚類(lèi)的醫(yī)學(xué)二維腦部損傷CT圖像目標(biāo)點(diǎn)定位方法。該方法先通過(guò)改進(jìn)的空域?yàn)V波器對(duì)含有噪聲的二維腦部損傷CT圖像進(jìn)行濾波去噪,將CT圖像變換成通用圖像,促使輸入的圖像具有相同的直方圖灰度分布狀態(tài),對(duì)每個(gè)分塊區(qū)域進(jìn)行分形維數(shù)計(jì)算,獲取腦部損傷標(biāo)記邊緣點(diǎn)的集合,提取其連通區(qū)域目標(biāo)點(diǎn),完成對(duì)醫(yī)學(xué)二維腦部損傷CT圖像目標(biāo)點(diǎn)定位。仿真證明,所提方法可以有效、準(zhǔn)確地自動(dòng)定位腦部損傷CT圖像的損傷部位,為臨床醫(yī)生提供可靠的診斷依據(jù)。
[Abstract]:The localization of the target points of the brain damage CT image can effectively improve the diagnostic efficiency of the brain damage. The location of the target points of the brain damage CT image needs to obtain the set of the edge points of the brain damage markers, extract the target points of the connected regions, and complete the location of the image target points. The traditional method is extracted in the smooth gradient image. Marking, it gives the marking threshold, but neglects the extraction of the connected region target points of the edge points, which leads to the low positioning accuracy. The method of target location for medical two-dimensional brain damage CT image based on fuzzy clustering is proposed. This method first filters and de-noise the two-dimensional brain damage CT image containing noise by the improved spatial filter, and the CT image is used. Transform into general image, make the input image have the same gray distribution state of histogram, calculate the fractal dimension to each block area, get the set of brain damage mark edge point, extract the target point of its connected region, complete the target location of the medical two-dimensional brain damage CT image. The simulation proves that the proposed method can have It can accurately locate the lesion site of brain damage CT image and provide reliable diagnostic basis for clinicians.
【作者單位】： 河北醫(yī)科大學(xué)臨床學(xué)院;河北醫(yī)科大學(xué)第二醫(yī)院;
【分類(lèi)號(hào)】：R743;R816.1;TP391.41

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