需要金幣:![]() ![]() |
資料包括:完整論文 | ![]() |
![]() |
轉(zhuǎn)換比率:金額 X 10=金幣數(shù)量, 例100元=1000金幣 | 論文字?jǐn)?shù):16702 | ![]() | |
折扣與優(yōu)惠:團(tuán)購最低可5折優(yōu)惠 - 了解詳情 | 論文格式:Word格式(*.doc) | ![]() |
摘 要:數(shù)字圖像處理技術(shù)是信息科學(xué)中近幾十年來發(fā)展最為迅速的學(xué)術(shù)之一。圖像邊緣是圖像最基本的一種特征,扮演著一個(gè)重要的角色,在圖像識(shí)別,圖像分割,圖像增強(qiáng)以及圖像壓縮等領(lǐng)域中有較為廣泛的應(yīng)用,其目的就是精確定位缺陷,同時(shí)更好地抑制噪聲。圖像邊緣提取的手段多種多樣,本文主要通過在 MATLAB平臺(tái)上做圖像的缺陷檢測(cè) ,把彩色圖像從RGB空間轉(zhuǎn)換到XYZ空間來分析。通過中值濾波,Retinex理論的圖像增強(qiáng),方差算法來實(shí)現(xiàn)靜態(tài)圖像的缺陷檢測(cè)。 關(guān)鍵詞:數(shù)字圖像;圖像處理;缺陷檢測(cè)
Abstract:The digital image processing technology in information science is one of the fastest growing disciplines in recent decades. Edge is a basic feature in image and the edge of the image plays an important role.There is more widely used in the image recognition, image segmentation, image enhancement and image compression and other areas. The purpose is to accurately locate the defect, and remove noise . There are many means of image defect extraction. In this paper different operators are used to achieve a static image defect detection in MATLAB programming language . we can transform RGB image to XYZ image ,to process image by using Median filter and image enhancement of the Retinex theory .And Static image can be detected through the Variance algorithm . Keywords : Digital images;Image edge;Defect detection |