The application of changed histogram equalization in image enhancement 變換的直方圖均衡算法在圖像增強(qiáng)中的應(yīng)用
Experimental results demonstrate this method is better than histogram equalization under this circumstance 實(shí)驗結(jié)果表明,與直方圖均衡方法相比,此方法效果較佳。
In the facet of pre - transact of ir image , the traditional smooth spatial filter and histogram equalization are analyzed and intruded first 論文在紅外圖像預(yù)處理方面,首先分析了傳統(tǒng)的空間濾波技術(shù),并著重介紹了平滑空間濾波器。
The traditional image enhancement approaches include gray - scale transformation , histogram modification , histogram equalization , image smoothing and wiener filtration 傳統(tǒng)的圖像增強(qiáng)方法有灰度變換、直方圖修正、直方圖均衡、圖像平滑和維納濾波。
There are several effective methods which are used to improve image contrast , such as piecewise linear stretch , histogram equalization and histogram normalization and so on 采用圖像對比度增強(qiáng)的方法改善影像灰度反差。主要的對比度增強(qiáng)方法有分段線性增強(qiáng)、直方圖均衡化和直方圖正態(tài)化等。
In addition , we proposed an adaptive histogram equalization method with variant window size over each pixel . this method produces more appropriate window size for each pixel than others 與已有的方法相比,由該方法生成的窗口大小能較靈活地適應(yīng)了圖像中不同區(qū)域的灰度分布,取得了較好的結(jié)果。
In this thesis , the preprocessing work includes histogram equalization and gray normalization . this preprocessing improves image quality , and eliminates the effects of illumination difference on the images 本論文在預(yù)處理階段通過對灰度直方圖修正、灰度歸一等工作改善了原圖像的質(zhì)量,使光照不均勻?qū)D像識別的影響降低。
In this paper , firstly the micro - areas image acquisition is introduced . secondly , in order to enhance the useful characteristic , the image pre - processing is taken by histogram equalization and modified median filter 論文首先實(shí)現(xiàn)了微區(qū)圖像的采集,為了增強(qiáng)圖像的有用特征,采用灰度級修正和噪聲抑制的方法對圖像進(jìn)行了預(yù)處理。
Besides , several contrast enhancing approaches were compared in the thesis , including histogram equalization , homo - filters , and wavelet transform . an algorithm based on the polygon approximation is developed 本論文對比了現(xiàn)有的一些圖像對比度提高的方法,包括直方圖均衡化、同態(tài)濾波器和小波同態(tài)濾波法在水下圖像對比度增強(qiáng)中應(yīng)用的效果。
This paper puts emphasis on image processing which makes use of histogram equalization method for image enhancement , which making engineer effectively analyze and making certain flaw , abrasion , bend of wall of a well 文中著重介紹了圖像處理部分,使用直方圖均衡化等方法對井下圖像進(jìn)行圖像增強(qiáng)處理,使工程人員能夠更有效的分析和確定井壁裂紋、磨損、彎曲等狀況。