价值工程
價值工程
개치공정
Value Engineering
2015年
28期
191-193,194
,共4页
MATLAB%医学图像%边缘分割%阀值分割
MATLAB%醫學圖像%邊緣分割%閥值分割
MATLAB%의학도상%변연분할%벌치분할
MATLAB%medical image%edge segmentation%threshold segmentation
在Matlab平台上结合图像分割理论对医学图像的处理已成为现代医学领域不可或缺的辅助技术,医学图像是医生诊断病情的关键性依据,医学图像视觉效果的提高有助于提高医生的确诊率,提高现代医疗水平,促进医学的可持续发展。本课题对胸部MRI图像进行了处理,该实验证明,该方法确实能够提高图像处理效果,清晰标记病灶部位。
在Matlab平檯上結閤圖像分割理論對醫學圖像的處理已成為現代醫學領域不可或缺的輔助技術,醫學圖像是醫生診斷病情的關鍵性依據,醫學圖像視覺效果的提高有助于提高醫生的確診率,提高現代醫療水平,促進醫學的可持續髮展。本課題對胸部MRI圖像進行瞭處理,該實驗證明,該方法確實能夠提高圖像處理效果,清晰標記病竈部位。
재Matlab평태상결합도상분할이론대의학도상적처리이성위현대의학영역불가혹결적보조기술,의학도상시의생진단병정적관건성의거,의학도상시각효과적제고유조우제고의생적학진솔,제고현대의료수평,촉진의학적가지속발전。본과제대흉부MRI도상진행료처리,해실험증명,해방법학실능구제고도상처리효과,청석표기병조부위。
The medical image processing in Matlab platform based on the image segmentation theory has become an integral assistive technology in the field of modern medicine. Medical image is a key basis for doctors to diagnose the disease and the improvement of the visual effect of medical image can improve doctor’s diagnosis rate, improve the level of modern medical care, and promote sustainable development of medicine. The article processed the chest MRI images, and the experiment showed that this method could improve the image processing effects and clearly mark lesion site.