after-image fields 中文意思是什麼
after-image fields
解釋
后象區-
The second aspect is the study and application of fitting method after introducing curve fitting method, we will study least - squares procedure used frequently in engineering fields. in addition, we will encode according to item requirement and least - squares procedure algorithm, then using the data picked from image processing to fit the equation we needed
在介紹了曲線擬合方法之後，主要研究工程設計中常用的最小二乘法，根據課題要求以及最小二乘法的演算法要求編寫源碼，將圖像處理后採集來的數據擬合成所需要的方程。 -
Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed
首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。 -
After analyzing the theory of mtdi and setting up the model of moving target echoes, the dissertation discusses in detail the effect of moving target doppler center frequency and doppler rate on the conventional sar image. it also analyzes detailedly the range migration of moving target from time field and frequency field and provides migration model in both fields. after that, it divides algorithms of mtdi into several classes, analyzes the influence of signal - to - noise on the detection results and gives the flow chart of moving target imaging processing
本文的主要貢獻包括： 1 、建立了運動目標回波散射模型，深入探討了進行常規sar成像時，動目標的多普勒中心頻率和調頻率對動目標圖像造成的影響；從時域和頻域兩方面詳細分析了由於目標運動造成的距離徙動效應，建立了距離徙動模型；然後研究了動目標檢測原理，並對現有的檢測方法進行分類，使之更加系統化；詳細分析了動目標信噪比對檢測結果的影響，給出了sar系統動目標成像流程圖，指出了動目標成像中的關鍵環節。 -
On the base of the analysis, we build up the vector fields of neighborhood variation ; put our emphasis on the description of the image edges and the domains of visual similar grey - level with the vector fields. after that, we find out the two methods used to detect the edges, the one with the biggest vector field, and the other with the perpendicular vector - pair of the biggest variation difference. the neighborhood size has got the great influence
在此基礎上，提出了基於鄰域灰度變化矢量場的圖像分割思想;建立了圖像鄰域灰度變化矢量場，並重點分析了鄰域灰度變化矢量場與圖像視覺邊緣、區域等特徵之間的關系;建立了最大鄰域灰度變化矢量的邊緣檢測運算元模型，基於鄰域灰度變化矢量場最大正交差異對的邊緣檢測運算元及區域檢測運算元模型;分析了鄰域選擇對邊緣擴展、噪聲抑制的影響。 -
In recent years, the research of image coding method has become one of the most active fields in information technology by way of the imp of communication, medium store, multimedia computer technology, etc. especially in 21st century, with the development of electronic and communicate technology, it is possible to realize the video telephone, meeting tv, signal tv, information high way and etc. on this occasion, it inevitably becomes one of the main tasks to seek after the effective image coding method
作為通信、介質存貯、數據發行、多媒體計算機等技術的關鍵環節，圖像壓縮編碼演算法的研究是信息技術中最活躍的研究領域之一，尤其是進入21世紀以後，電子技術和通信技術的發展使可視電話、會議電視、數字電視、高清晰度電視、多媒體計算機、信息高速公路等的生產和建立成為可能。在這一背景下，探索高效圖像壓縮編碼演算法無疑將成為主要任務之一，對其研究也將成為國際公認的熱點之一。 -
Their work opened a number of theoretical and practical questions in the pde image processing fields. after consulting many references we make the following research : 1 ) analysing perona - malik equation by taking it into the framework of robust 3 estimation
本論文在研究參考眾多文獻基礎上對該項技術及應用做了以下研究工作： 1 ）將perona ? malik方程轉化到統計魯棒性估計理論框架下進行了研究。 -
After analyzed the limitation of dijkstra algorithm and genie algorithm, a pulse coupled neural networks ( pcnn ) algorithm is proposed. pcnn provides group similarity, synchronous exciting and auto - wave generation characters, and is widely researched and applied in image processing, target identification and optimization fields
脈沖耦合神經網路提供了分組類似性、同步激發和自動波的形成與傳播等一系列基本的特性，並在圖像處理、目標的自動辨識和組合優化等領域中得到了廣泛的應用和研究。
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