image smoothing造句
例句與造句
- Fairness of b - spline curves based on image smoothing skill
樣條曲線光順 - Spatial algorithm and frequency analysis of the thod of image smoothing process
一種圖像平滑處理方法的空域算法與頻域分析 - Image smoothing technology based on pde is an adaptive smoothing method
基于偏微分方程的圖像平滑技術(shù)是一種自適應(yīng)平滑技術(shù)。 - 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。 - The main methods include image smoothing and reinforcing reconstructed image . finally , all of stated above are implemented in a demonstration software
第五,相應(yīng)于壓縮方案,對解壓獲得的重建圖像進行后處理,主要包括圖像平滑放大和圖像效果增強。 - It's difficult to find image smoothing in a sentence. 用image smoothing造句挺難的
- In the process of research , some new ideas are put forward and the corresponding algorithms are devised : cylindrical projection , stitching orientation , image smoothing
我們在研究過程中提出了一些新的思想,并設(shè)計了以下算法:柱面投影算法、拼接定位算法、圖像平滑算法。 - We get the candidate area by integrating the svm results of different scales , and use density - based candidate area confirmation and image smoothing postprocess to get the final text area
根據(jù)對多幅子圖的分類結(jié)果進行圖像融合來生成候選區(qū)域,然后逐步對候選區(qū)域進行基于密度的區(qū)域確認和平滑后處理等步驟確定最終的文本區(qū)域。 - This paper have deeply researched the newly formed image smoothing technology based on partial differential equation ( pde ) after investigating lots of image smoothing methods
本論文在研究比較了各種常見圖像平滑技術(shù)的基礎(chǔ)上重點對新近出現(xiàn)的基于偏微分方程( partialdifferentialequation ,縮寫為pde )的圖像平滑技術(shù)進行了深入研究。 - The simulation results show the proposed method can effectively filter the impulse noise and deduce the negative impact on image smoothing by the median filter . ( 2 ) for the feature extraction , an improved barnard - log feature extraction algorithm is proposed
并通過仿真說明該算法能夠比較好的濾除沖激噪聲和減小中值濾波對圖像引入的平滑效應(yīng); ( 2 )針對特征提取問題,采用與log特征聯(lián)合操作的方法,改進barnard特征提取算法。 - After summarizing some methods of character pick - up , a more suitable means for ranging system on highway was brought forward . it combined the technology of image smooth , region segmentation and threshold segmentation and picked up the object auto . it has high speed and high veracity in program
該方法將圖像平滑、區(qū)域分割、閾值分割等多種圖像處理技術(shù)有機的結(jié)合,對采集的圖片成功的實現(xiàn)目標汽車提取,并且具有計算速度快、準確性高的特點。 - Techniques gaining major research efforts include image smoothing , medium value filtering and image sharpening . besides , two kinds of image segmentation techniques are mentioned here , i . e . histogram - based segmentation and marginal extraction algorithm with bettered active - outline model
本文的主要研究工作如下:研究了三種圖像預(yù)處理技術(shù):圖像平滑、中值濾波和圖像銳化;以及兩種圖像分割技術(shù):基于直方圖分析的分割方法和改進主動輪廓模型的邊緣提取算法。 - In auto smooth method , we use the curvature and depth analysis to look for " bad point " automatically , and take the latitudinal curve to modify the surface ; referring to the tech of image processing , we import a interactive method to smooth surface based on image smoothing
在自動光順方法中,利用曲率分析及深度分析自動尋找“壞點”并采用緯向曲線重生成的方法予以修正;結(jié)合圖像處理的內(nèi)容,引入了基于圖像平滑的交互式曲面光順方法,取得了滿意的效果。 - Third , to compress the text layer and image layer respectively . the whole process of compression includes sub - sample , wavelet transform , ezw and arithmetic encoding . and the whole process of decompression includes arithmetic decoding , ezw decoding , wavelet reverse transform and image smoothing
第三,分別對文本層和插圖層進行壓縮,壓縮采用的方法依次為亞抽樣、小波變換、零樹編碼和算術(shù)熵編碼;解壓縮過程為算術(shù)熵解碼、零樹解碼、小波逆變換和圖像平滑。 - Based on perspective model , it was proposed that drawing camera inner parameters with physics method ; in image processing , especially the particularity of robot object localization and tracking , it was proposed that several effective methods of image smoothing and sharpening , edge detection , boundary tracking ; at the same time , in order to complete object recognition , we introduced the methods of drawing object character parameters ; in object image matching , two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration , we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points , and completed object movement parameters estimate and object tracking and prediction , and presented experimental result
以透視成像模型為基礎(chǔ),提出了用物理方法來提取攝像機內(nèi)部參數(shù);從圖像處理角度出發(fā),針對機器人目標定位與跟蹤的特殊性,提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法;同時,為了完成目標的識別,介紹了目標特征參數(shù)的提取方法;在目標圖像匹配上,提出了兩種快速有效的目標匹配算法;基于目標深度信息恢復(fù)原理,提出兩種目標特征點三維坐標恢復(fù)的方法,同時完成了目標運動參數(shù)估計和目標的跟蹤與預(yù)報,并最后給出了實驗結(jié)果。 - ( 3 ) a set of digital image processing algorithms for suppression of undesired components and improvement of numerical reconstruction images quality are presented , which consists of hologram contrast - enhancement , band - pass filtering and v - filtering , reconstructed image smoothing , and several reconstructed images adding
( 3 )針對無透鏡傅里葉變換全息圖數(shù)值再現(xiàn)的特點提出了一套圖像處理算法,包括全息圖預(yù)處理、再現(xiàn)圖像的帶通與v型濾波,再現(xiàn)像的平滑處理,以及再現(xiàn)像疊加平均等算法。
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