數(shù)字圖像銳化算法研究-展示頁
2025-07-07 14:44本頁面
【正文】 x,f)] 可由下式算出：（56）由上式可知，梯度的數(shù)值就是f(x,f)在其最大變化率方向上的單位距離所增加的量。由于圖像模糊的實(shí)質(zhì)是圖像受到平均或積分運(yùn)算造成的，所以為了把圖像中任何方向伸展的邊緣和模糊的輪廓變得清晰，可以對(duì)圖像進(jìn)行逆運(yùn)算如微分運(yùn)算，從而使圖像清晰化。 otherwise, after sharpening the image signal to noise ratio is lower.關(guān)鍵字：圖像銳化，微分法，高通濾波法1微分法圖像銳化1．基本理論鄰域平均法或加權(quán)平均法可以平滑圖像，反過來利用對(duì)應(yīng)的微分方法可以銳化圖像。Abstract：At present, image sharpening the digital image processing is one of the basic methods, it is in order to highlight the image total detail or enhancement was vague details, this kind of fuzzy is not due to erroneous operation, is a special method of obtaining inherent influence. Image sharpening method is varied, which also includes a wide variety of applications, from the electronic image and medical imaging to industrial detection and military system guidance, etc..Image sharpening has two main objectives : one is to enhance the image edge, so that the fuzzy image clarity, color is distinctive, the image quality is improved somewhat, produce more suitable for human observation and image recognition。下面主要介紹一下兩種常用的微分銳化方法：梯度銳化和拉普拉斯銳化。圖像銳化一般有兩種方法：一是微分法，二是高通濾波法。數(shù)字圖像銳化算法研究作者姓名：郭志標(biāo) 指導(dǎo)老師：江健生摘要： 目前，圖像銳化是數(shù)字圖像處理的最基本的方法之一，它是為了突出圖像總的細(xì)節(jié)或者增強(qiáng)被模糊地細(xì)節(jié)，這種模糊不是由于錯(cuò)誤操作，就是特殊獲取方法的固有影響。圖像銳化處理的方法多種多樣，其也包括多種應(yīng)用，從電子印象和醫(yī)學(xué)成像到工業(yè)檢測和軍事系統(tǒng)的的制導(dǎo)，等等.圖像銳化的主要目的有兩個(gè)：一是增強(qiáng)圖像邊緣，使模糊的圖像變得更加清晰，顏色變得鮮明突出，圖像的質(zhì)量有所改善，產(chǎn)生更適合人眼觀察和識(shí)別的圖像；二是希望經(jīng)過銳化處理后，目標(biāo)物體的邊緣鮮明，以便于提取目標(biāo)的邊緣、對(duì)圖像進(jìn)行分割、目標(biāo)區(qū)域識(shí)別、區(qū)域形狀提取等，為進(jìn)一步的圖像理解與分析奠定基礎(chǔ)。高通濾波法的工作原理和低通濾波相似，這里不再贅述。但由于銳化使噪聲受到比信號(hào)還要強(qiáng)的增強(qiáng)，所以要求銳化處理的圖像有較高的信噪比；否則，銳化后圖像的信噪比更低。 two is the hope that through the sharpening processing, the edge of the object is bright, in order to extract target edge, image segmentation, target region identification, regional shape extraction, for further image analysis and lay the foundation for. Image sharpening generally has two kinds of methods: one is the differential method, two is highpass filtering method. High pass filtering method and the working principle of low pass filtering similarity, here no longer. Here mainly introduce two kinds of monly
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