【摘要】：隨著科學(xué)技術(shù)的發(fā)展,特別是醫(yī)療技術(shù)和圖像成像技術(shù)的發(fā)展,獲取各類醫(yī)學(xué)圖像不再困難。醫(yī)學(xué)圖像在現(xiàn)代臨床醫(yī)學(xué)中占有相當(dāng)重要的地位,臨床醫(yī)生可以利用醫(yī)學(xué)圖像對病情有效地進(jìn)行診斷和分析。但由于受到數(shù)據(jù)采集設(shè)備、和噪聲等因素的影響,醫(yī)學(xué)圖像的質(zhì)量會受到影響。為了更好地協(xié)助臨床醫(yī)生的工作,為其提供更清晰的醫(yī)學(xué)圖像,醫(yī)學(xué)圖像增強處理成為醫(yī)學(xué)處理中的一個重要問題。本文圍繞醫(yī)學(xué)圖像增強的方法展開分析和研究,結(jié)合圖像稀疏表示和多小波變換理論,提出了一種基于脊波變換的醫(yī)學(xué)圖像增強算法。本文主要工作如下:首先研究了醫(yī)學(xué)圖像的空間域增強方法。空間域法是直接對原圖像的灰度進(jìn)行處理,主要有灰度變換、直方圖均衡化,以及空間域濾波等增強方法。然后研究了小波變換理論和脊波變換理論,并在此基礎(chǔ)上,提出了一種基于脊波變換的醫(yī)學(xué)圖像增強方法。該算法主要過程為:首先對圖像進(jìn)行有限Radon變換,然后再進(jìn)行一維多小波變換,接著對多小波變換系數(shù)進(jìn)行增強處理,并在此基礎(chǔ)上對醫(yī)學(xué)圖像進(jìn)行重構(gòu)處理。最后,對重構(gòu)后的圖像進(jìn)行灰度變換,以得到增強效果更好的圖像。實驗結(jié)果表明,使用該算法對醫(yī)學(xué)圖像進(jìn)行增強處理,能夠獲取良好的增強效果。
[Abstract]:With the development of science and technology, especially medical technology and image imaging technology, it is no longer difficult to obtain all kinds of medical images. Medical images play an important role in modern clinical medicine. Clinicians can use medical images to diagnose and analyze the disease effectively. However, the quality of medical images will be affected by data acquisition equipment, noise and other factors. In order to better assist clinicians in their work and provide them with clearer medical images, medical image enhancement has become an important issue in medical processing. In this paper, a medical image enhancement algorithm based on ridgelet transform is proposed by analyzing and researching the methods of medical image enhancement, combining the sparse representation of image and the theory of multi-wavelet transform. The main work of this paper is as follows: firstly, the spatial domain enhancement method of medical image is studied. The spatial domain method is used to deal with the gray level of the original image directly, including gray level transformation, histogram equalization, spatial filtering and other enhancement methods. Then, wavelet transform theory and ridgelet transform theory are studied, and a medical image enhancement method based on ridgelet transform is proposed. The main process of the algorithm is as follows: firstly, the image is transformed by finite Radon, then by one dimensional multiwavelet transform, then the coefficients of multiwavelet transform are enhanced, and then the medical image is reconstructed. Finally, the reconstructed image is transformed into gray level to get a better enhancement effect. The experimental results show that the algorithm can achieve good enhancement effect.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41
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本文編號：2381922