【正文】 ，使醫(yī)生更容易診斷和治療病情。同時，醫(yī)學(xué)圖像處理發(fā)展到今天，還是沒有形成完整的理論體系，因而對研究人員來說這是一個挑戰(zhàn)性的課題。而且，隨著數(shù)字化、智能化進(jìn)程的深入，醫(yī)學(xué)圖像處理技術(shù)在醫(yī)療衛(wèi)生領(lǐng)域?qū)懈訌V闊的應(yīng)用前景。醫(yī)學(xué)上的診斷很多時候需要借助對于醫(yī)療圖像的判斷來作為依據(jù)，比如CT、X光、B超等醫(yī)學(xué)圖像，但有的拍片沒有達(dá)到標(biāo)準(zhǔn)要求的清晰度，往往造成重拍或診斷結(jié)果的不準(zhǔn)確。1979 年，這項(xiàng)無損傷診斷技術(shù)獲得了諾貝爾獎，說明它對人類作出了劃時代的貢獻(xiàn)。1972 年英國 EMI 公司工程師發(fā)明了用于頭顱診斷的 X 射線計(jì)算機(jī)斷層攝影裝置，也就是我們通常所說的 CT（Computer Tomograph） 。隨后又對探測飛船發(fā)回的近十萬張照片進(jìn)行更為復(fù)雜的圖像處理，以致獲得了月球的地形圖、彩色圖，獲得了非凡的成果，為人類登月創(chuàng)舉奠定了堅(jiān)實(shí)的基礎(chǔ)，也推動了數(shù)字圖像處理這門科學(xué)的誕生。首次獲得實(shí)際成功應(yīng)用的是美國噴氣推進(jìn)實(shí)驗(yàn)室。它以人為對象，來改善人的視覺效果。image enhancement 第 1 章 緒言 課題背景 圖像處理技術(shù)起源于 20 世紀(jì) 20 年代，至今已有 90 多年的歷史，從最初的簡單處理到現(xiàn)在在醫(yī)學(xué)、工程學(xué)、計(jì)算機(jī)科學(xué)、信息科學(xué)、統(tǒng)計(jì)學(xué)、生物學(xué)、等各領(lǐng)域的應(yīng)用，給人類帶來了巨大的經(jīng)濟(jì)和社會效益，不久的將來會有更深入的發(fā)展及應(yīng)用，成為科學(xué)研究、社會生產(chǎn)及人類生活不可缺少的強(qiáng)有力工具。medical image processing。s life, reduce patient pain, can also reduce the economic burden on the patient. Medical imaging technology has been widely used in medical activities to the advantages of efficient, economical, noninvasive. Medical images has bee an indispensable part of modern medicine, its quality is directly related to the accuracy of the doctor39。圖像增強(qiáng)ABSTRACT With the continuous improvement of people39。醫(yī)學(xué)圖像處理。醫(yī)學(xué)圖像經(jīng)過圖像處理以后,圖像質(zhì)量得到了改善,圖像細(xì)節(jié)更加突出,減少了誤診和漏診的概率。然后,用MATLAB對醫(yī)學(xué)圖像處理進(jìn)行了調(diào)試運(yùn)行。因此,對醫(yī)學(xué)圖像進(jìn)行適當(dāng)?shù)脑鰪?qiáng)處理,使其更能清晰、準(zhǔn)確地反映出病灶是非常必要的。醫(yī)學(xué)圖像已經(jīng)成為現(xiàn)代醫(yī)學(xué)不可或缺的一部分,它的質(zhì)量直接關(guān)系到醫(yī)生診斷和治療的準(zhǔn)確性。 屆 別 2022 屆 學(xué) 號 202214350135 畢業(yè)設(shè)計(jì)（論文）基于 MATLAB 的醫(yī)學(xué)圖像處理 目 錄摘 要 ...........................................................................................................IABSTRACT .............................................................................................II1 緒論 ........................................................................................................1 課題背景 ..............................................................................................1 本文研究目的和意義 ..........................................................................1 本文主要研究工作 ..............................................................................22 MATLAB 技術(shù) .......................................................................................3 調(diào)用程序設(shè)計(jì)原理 ..............................................................................3 調(diào)用 MATLAB 程序的實(shí)現(xiàn) ..............................................................................................................43 醫(yī)學(xué)圖像處理的具體過程 ....................................................................9 圖像旋轉(zhuǎn)的 MATLAB 實(shí)現(xiàn) ...............................................................9 圖像剪切的 MATLAB 實(shí)現(xiàn) .............................................................10 圖像負(fù)片效果的 MATLAB 實(shí)現(xiàn) .....................................................11 灰度變換的 MATLAB 實(shí)現(xiàn) .............................................................12 直方圖均衡化的 MATLAB 實(shí)現(xiàn) .....................................................14 銳化效果的 MATLAB 實(shí)現(xiàn) .............................................................17 邊緣檢測效果的 MATLAB 的實(shí)現(xiàn) .................................................194 總結(jié) ......................................................................................................23參考文獻(xiàn) ..................................................................................................24致 謝 ........................................................................................................25附 錄 ........................................................................................................26摘 要隨著人民的生活水平不斷提高,人們越來越關(guān)注自身健康,提早、準(zhǔn)確地發(fā)現(xiàn)疾病并予以及時地治療,不但可以挽回病人的生命、減輕病人痛苦,還可以減輕病人的經(jīng)濟(jì)負(fù)擔(dān)。醫(yī)學(xué)影像技術(shù)以高效、經(jīng)濟(jì)、無創(chuàng)等優(yōu)點(diǎn)在醫(yī)療活動中得到廣泛應(yīng)用。然而,有時獲得的醫(yī)學(xué)圖像并不是很理想,不能很好地突出病灶部位的信息,這就容易造成醫(yī)生的誤診或漏診。本文首先詳細(xì)描述了MATLAB對醫(yī)學(xué)圖像處理的工作原理,指出了各種圖像處理的特點(diǎn)和適用范圍,并對圖像銳化處理進(jìn)行了改進(jìn),使圖像增強(qiáng)的效果更好。最后,對本課題的研究進(jìn)行了總結(jié)和展望,指出了本課題的成果和不足,指明了改進(jìn)的方向。關(guān)鍵詞：MATLAB。圖像處理。s living standards, people are increasingly concerned about their health, early and accurate detection of diseases and be timely treatment, can not only restore the patient39。s diagnosis and treatment. However, sometimes the medical image is not ideal, can highlight the information of the lesion site, which is likely to cause the doctor misdiagnosed. Therefore, the appropriate enhancement of medical images, to make it more clear and accurately reflect the lesion is very article first detailed study of the medical image processing works, pointed out the characteristics and scope of the various image processing and image sharpening to improve, better image enhancement. Then, the medical image processing using MATLAB debugging run. Finally, research on this topic summary and outlook, and pointed out the achievements and shortings of this subject, and pointed out the direction of improvement. After the medical image after image processing, image quality has been improved, more image detail, reducing the probability of misdiagnosis and