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數(shù)字圖像處理英文文獻翻譯參考(編輯修改稿)

2024-10-04 16:29 本頁面
 

【文章內容簡介】 dex (EPI) is defined as follows: 安徽工業(yè)大學 畢業(yè)設計(外文翻譯)說明書 ……………………………………………………裝………………訂………………線…………………………………………………………………… 第 6 頁 共 23 頁 (7) Contrast Increase Index (CII) is defined as follows: m inm a x m inm a x, GG GGCCCE OD ???? (8) In figure 4, we pared with the Wavelet Transform based algorithm and get the evaluate number in TABLE I. Figure 4 (a, c) show the original image and the differential evolution algorithm for enhanced results can be seen from the enhanced contrast markedly improved, clearer image details, edge feature more prominent. b, c shows the waveletbased hybrid geic algorithmbased Comparison of Image Enhancement: waveletbased enhancement method to enhance image detail out some of the image visual effect is an improvement over the original image, but the enhancement is not obvious。 and Hybrid geic algorithm based on adaptive transform image enhancement effect is very good, image details, texture, clarity is enhanced pared with the results based on wavelet transform has greatly improved the image of the postanalytical processing helpful. Experimental enhancement experiment using wavelet transform sym4 wavelet, enhanced differential evolution algorithm experiment, the parameters and the values were ,. For a 256 256 size image transform based on adaptive hybrid geic algorithm in Matlab image enhancement software, the puting time is about 2 seconds, operation is very fast. From TABLE I, objective evaluation criteria can be seen, both the edge of the protection index, or to enhance the contrast index, based on adaptive hybrid geic algorithm pared to traditional methods based on wavelet transform has a larger increase, which is from This section describes the objective advantages of the method. From above analysis, we can see 安徽工業(yè)大學 畢業(yè)設計(外文翻譯)說明書 ……………………………………………………裝………………訂………………線…………………………………………………………………… 第 7 頁 共 23 頁 that this method. From above analysis, we can see that this method can be useful and effective. VI. CONCLUSION In this paper, to maintain the integrity of the perspective image information, the use of Hybrid geic algorithm for image enhancement, can be seen from the experimental results, based on the Hybrid geic algorithm for image enhancement method has obvious effect. Compared with other evolutionary algorithms, hybrid geic algorithm outstanding performance of the algorithm, it is simple, robust and rapid convergence is almost optimal solution can be found in each run, while the hybrid geic algorithm is only a few parameters need to be set and the same set of parameters can be used in many different problems. Using the Hybrid geic algorithm quick search capability for a given test image adaptive mutation, search, to finalize the transformation function from the best parameter values. And the exhaustive method pared to a significant reduction in the time to ask and solve the puting plexity. Therefore, the proposed image enhancement method has some practical value. REFERENCES [1] HE Bin et al., Visual C++ Digital Image Processing [M], Posts amp。 Tele Press, 2020,4:473~ 477 [2] Storn R, Price K. Differential Evolution—a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Space[R]. International Computer Science Institute, Berlaey, 1995. [3] Tubbs J D. A note on parametric image enhancement [J].Pattern , 30(6):617621. [4] TANG Ming, MA Song De, XIAO Jing. Enhancing Far Infrared Image Sequences with Model Based Adaptive Filtering [J] . CHINESE JOURNAL OF COMPUTERS, 2020, 23(8):893896. [5] ZHOU Ji Liu, LV Hang, Image Enhancement Based on A New Geic Algorithm [J]. Chinese Journal of Computers, 2020, 24(9):959964. [6] LI Yun, LIU Xuecheng. On Algorithm of Image Constract Enhancement Based on Wavelet Transformation [J]. Computer Applications and Software, 2020,8. [7] XIE Meihua, WANG Zhengming, The Partial Differential Equation Method for Image Resolution Enhancement [J]. Journal of Remote Sensing, 2020, 9(6):673679. 安徽工業(yè)大學 畢業(yè)設計(外文翻譯)說明書 ……………………………………………………裝………………訂………………線…………………………………………………………………… 第 8 頁 共 23 頁 基于混合遺傳算法的圖像增強技術 Mu Dongzhou 徐州工業(yè)職業(yè)技術學院 信息工程系 XuZhou, China Xu Chao and Ge Hongmei 徐州工業(yè)職業(yè)技術學院 信息工程系 XuZhou, China xuch@ , 摘要 — 在圖像增強之中,塔布斯提出了歸一化不完全β函數(shù)表示常用的幾種使用的非線性變換函數(shù)對圖像進行研究增強。但如何確定 Beta 系數(shù)功能仍然是一個問題。在圖像增 強處理和利用遺傳 算法 快速算法的搜索能力 進行 自適應變異和 搜索 我們提出了一種混合遺傳將微分進化算法。最后利用 仿真 實驗證明了該方法的有效性 。 關鍵詞 — 圖像增強;混合遺傳算法;自適應增強 Ⅰ .介紹 在圖像形成,傳遞或轉換過程,由于其他客觀因素,如系統(tǒng)噪聲,不足或過度曝光,相對運動等的影響會 使 圖像通常 與 原始圖像之間 有差別 (簡稱退化或退化) 。 退化圖像通常模糊或信息的提取 通過機器后減少 甚至是錯誤的 , 它必須采取一些改進措施。 圖像增強技術是在其目的是為了提高圖像的質量這個意義上提出的 。 模糊圖像增強情況 是 根據(jù)圖像使用各種特 殊技術集錦的一些信息圖像,減少或消除不相關的信息,來強調整體或局部特征的目標圖像。圖像增強方法仍沒有統(tǒng)一的理論,圖像增強技術可分為三類別:點運算,與空間頻率增強方法增強法。本文介紹了根據(jù)圖像特征自動調整自適應圖像增強方法,稱為混合遺傳算法。為了實現(xiàn)圖像的自適應增強它結合了差分進化自適應搜索算法 , 自動確定的參數(shù)值的變換函數(shù) 。 Ⅱ .圖像增強 技術 圖像增強是圖像的某些特征 , 如輪廓,對比,強調或突出的邊緣 等為了便于 檢測和進一步的分析和處理 . 增強將不會增加圖像中的 信息 數(shù)據(jù),但會選擇適當?shù)膭討B(tài) 范圍的 功能 的擴展, 使得這 些特點 更容易檢測 或確定,為后續(xù)的分析和處理的檢測打下良好的基礎。 圖像增強方法包括點運算,空間濾波,頻域濾波類別。點運算包括對比度拉伸,直方圖建模,并限制噪聲和圖像減影技術。空間濾波器包括低通濾波,中值濾波,高通濾波器(銳化)。頻率濾波器包括同態(tài)濾波,多尺度多分辨率圖像增強中的應用 [1]。 Ⅲ .差分進化算法 差分進化 ( DE)首次提出了強硬的價值,并與其他進化算法進行比較, DE 算法具有強大的空間搜索能力,易實現(xiàn),容易理解。 DE 算法是一種新型的搜索算法,它安徽工業(yè)大學 畢業(yè)設計(外文翻譯)說明書 ……………………………………………………裝………………訂………………線…………………………………………………………………… 第 9 頁 共 23 頁 首先是在搜索空間中隨機產(chǎn)生初始種群,
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