【正文】 0 本科畢業(yè)設(shè)計(jì) ( 論文 ) 目錄 摘要 ................................................................................................................................................. 2 前言 ................................................................................................................................................. 4 一、緒論 ......................................................................................................................................... 4 研究的目的與意義 ............................................................................................................... 5 圖像增強(qiáng)概述 ....................................................................................................................... 5 直方圖均衡化 ...................................................................................................................... 7 基于貝塞爾曲線的直方圖變換 ........................................................................................... 9 MATLAB /GUI 概述 .......................................................................................................... 10 本文的主要工作 ................................................................................................................ 13 二、直方圖增強(qiáng)技術(shù)的基本理論 ............................................................................................... 14 直方圖基礎(chǔ) ......................................................................................................................... 14 直方圖均衡化 .................................................................................................................. 15 直方圖變換 ........................................................................................................................ 16 1 本章小結(jié) ............................................................................................................................ 17 三、變換的直方圖均衡算法 ....................................................................................................... 17 圖像顏色特征提取 ............................................................................................................ 19 分段線性變換提取 ............................................................................................................. 20 分段非線性變換 ................................................................................................................. 20 貝塞爾插值算法 ................................................................................................................ 23 貝塞爾曲線變換 ................................................................................................................. 24 本章小結(jié) ............................................................................................................................. 25 四、系統(tǒng)實(shí)現(xiàn)與仿真 ................................................................................................................... 17 貝塞爾曲線變換直方圖 ..................................................................................................... 26 基于貝塞爾曲線的圖像均衡化的實(shí)驗(yàn)例子 ..................................................................... 27 本章小結(jié) ............................................................................................................................. 29 五、總結(jié) ..................................................................................................................................... 30 參考文獻(xiàn) ....................................................................................................................................... 32 致謝 ............................................................................................................................................... 34 2 摘要 數(shù)字 圖像處理技術(shù)在人類的日常生活、 社會(huì) 經(jīng)濟(jì)發(fā)展和國(guó)家 的 安全 保障 中扮演了極其重要的角色， 它被 廣泛應(yīng)用到人 們 生活 與 工作的 各方各面 。隨著科學(xué)和技術(shù)地不斷更新，人類進(jìn)入了新的信息時(shí)代，同時(shí) 圖像處理 技術(shù) 的應(yīng)用 范圍延伸到各種領(lǐng)域 。 趨向成熟和強(qiáng)大的 計(jì)算機(jī) 技術(shù)為 圖像處理學(xué)科 的創(chuàng)新和 發(fā)展 提供了強(qiáng)有力的技術(shù)支持 ， 為 人們 提供更好的服務(wù) 。目的：改善圖像質(zhì)量，使圖像得到增強(qiáng)。方法：利用 MATLAB/GUI，采用基于貝塞爾曲線的直方圖增強(qiáng)技術(shù)對(duì)圖像進(jìn)行處理，設(shè)計(jì)實(shí)現(xiàn)了圖像的讀取、直方圖的變換和圖像的參數(shù)調(diào)整，編譯 已經(jīng) 完成的 直方圖參數(shù)調(diào)整的 程序 并且將其 轉(zhuǎn)化為 圖形用戶界面的 執(zhí)行文件。結(jié)果：通過 直方圖參數(shù)調(diào)整 前后 不同 圖像的對(duì)比，可以看出 直方圖增強(qiáng) 后的 曝光不足與曝光過度的 圖像 的 清晰度 都顯著提高 ， 其圖像質(zhì)量也明顯 得到 了 改善 ，更加符合人眼的視覺效果 。這說明直方圖均衡法對(duì) 于 增強(qiáng)圖像有 良好 的 成效 。結(jié)論：使用 Matlab/GUI對(duì)基于貝塞爾曲線的直方圖均衡化進(jìn)行編程， 簡(jiǎn)化了 數(shù)字 圖像處理 的設(shè)計(jì)和編程 工作， 并且 提供了 強(qiáng)大的 技術(shù) 支持 。直方圖增強(qiáng) 技術(shù)可以 很好地處理圖像 的 局部細(xì)節(jié)方面， 同時(shí)，通過 變換 貝塞爾曲線的方法來調(diào)整圖像 直方圖 能夠自主控制直方圖均衡化過程 ，操作方便、方法靈活、應(yīng)用廣泛， 達(dá)到了通過人為的調(diào)控來實(shí)現(xiàn)圖像增強(qiáng)的效果。 關(guān)鍵詞： 圖像增強(qiáng)；直方圖均衡化；貝塞爾曲線； MATLAB/ GUI 3 Abstract Image processing technology plays a very important role in our daily life, economic development and social security in the country. And it is widely applied in every aspect of people39。s life and work. As the scope of human activities continues to expand, science and technology continue to develop, the scope of application of image processing technology will continue to expand. with the increasing of puter processing capacity, digital image processing developes rapidly and provides better services for people. Objective: to improve the quality of image and to enhance the image. Methods: using MATLAB/GUI technology to process the image enhancement based on histogram by Bessel curve. To design and implement of image reading, histogram transform and parameter adjustment, the pleted program can be piled into executable file. Results: by paring the images before and after treatment, we can see, the processed image contour definition is improved obviously, the image visual effect is also obviously improved. This shows that the histogram equalization method for image enhancement has a good effect. Conclusion: the histogram equalization based on Bessel curve of programming using Matlab/GUI, which greatly simplifies the programming work, provides a platform for digital image processing technology. Histogram enhancement can well handle the local image details. Through the method of transform Bessel curve method, adjusting