sobel operator 中文意思是什麼
sobel operator
解釋
sobel運算元-
This paper studies to get the image of thenar by using a video camera, and carries on the necessary image processing by software with the information captured, and gets the ideal image to provide the image data basis for follow - up cad after the processing such as median filtering, sobel or kirsch ' s operator edge detection, image reversal and image enhancement etc. in this paper, the pressed image information of thenar captured by camera have been carried on processing and analyzing, and the result has been compared with that of image acquired by the scanner
本文研究了利用攝像頭獲取腳底圖像，再通過軟體將所獲信息進行必要的圖像處理，經中值濾波、 sobel或kirsch運算元邊緣檢測、亮度調整及反置、圖像增強等處理后，得到滿意的圖像為后續的cad提供圖像數據依據。本文對攝像頭採集的足底受壓圖像信息進行了處理和分析並與掃描儀的圖像處理結果進行了比較，由結果得知攝像頭輸入方法是一種簡單實用的輸入方法，且能很好的滿足設計要求。 -
There are many methods of edge detection. according to practical task, we choose some classical methods of edge detection including first differential ( roberts operator, sobel operator and prewitt operator ), second differential ( laplacian operator and kirsch operator ), log filter and canny operator. they are studied in theory and practice applying
邊緣檢測有很多方法，根據課題實際背景，選擇了幾種比較經典的邊緣檢測方法，即一階運算元（ roberts運算元、 sobel運算元、 prewitt運算元） 、二階運算元（ laplacian運算元和kirsch運算元） 、 log運算元和canny運算元，對他們進行理論和實際應用研究。 -
Comparing with the sobel operator and the imaging the theory of ccd array gets the better edge detection image edges are computed by the edge detection of the ccd array
比較圖像邊緣檢測sobel運算元及電荷耦合器件ccd角度考慮的兩種演算法，選取了一種精度較高的邊緣檢測的演算法。 -
Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu
選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。 -
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。 -
Detailed introducing image enhancement, edge detection, thresholding, thinning etc. and many arithmetic such as median filter, sobel arithmetic operator, betterment gray scale histogram etc. applied or betterment applied it to the graduating project
圖像增強、邊緣檢測、圖像二值化、圖像細化等，演算法如中值濾波、邊緣檢測運算元，改進的灰度直方圖法、骨架抽取做了重要探討，並應用或改進應用於本人的設計中。 -
A new multi - orientation linear edge detection method based on 24 - bit color image is proposed, which is based on prewitt operator and sobel operator
在prewitt運算元和sobel運算元的基礎上，提出了一種新的基於24位彩色圖像的多方向線性邊緣檢測方法。 -
This paper clarifies image collect automatically process of multi - channels, and pre - processing process of original image in order to noise reduction. in image processing, method as follows will be introduced in this paper : a method combining image threshold iterative segmentation with threshold interpolation, edge detection operator sobel and log, edge linking method using delation operator based on mathematical morphology, using boundary tracking and projection method in edge distill process. through this method, measurement of wheelset will be met precision demand
本文闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像進行預處理過程，達到圖像去噪聲的目標，本課題採用了閾值分割中迭代閾值和閾值插值相結合的方法， sobel運算元、 log運算元邊緣檢測演算法，基於數學形態學的膨脹運運算元進行邊緣斷點連接以及目標提取中的投影法和邊緣跟蹤方法，使得提取輪對圖像邊緣達到測量精度的要求。 -
Sobel edge operator was used to extract the edge contours of two - valued gray level image as the raw sample data, simplifying the test data, and reserving the original characteristics of test data, discontinuity of perforation boundary
Sobel邊緣運算元在提取二值灰度圖像的邊緣輪廓作為目標靶板的原始樣本數據的過程中，在簡化試驗數據的同時，成功地保留了原有試驗數據的特性? ?孔邊界的突變性。 -
Some conventional detection operators are analysed in detail, such as roberts operator, sobel operator and laplacian operator, and also apply this operators to the arc image to test their detection results. but these conventional detection operators have a common shortcoming : they are too simple
主要的研究工作包括以下幾個方面：對一些傳統的邊緣檢測運算元，如： roberts運算元、 sobel運算元、拉普拉斯運算元等等進行了原理分析，並將這些運算元應用於電弧圖像，測試其邊緣檢測的效果。 -
There are many algorithms of edge detection developed for image processing, such as roberts operator, sobel operator, algorithm of marr edge detection and so on
人們已經針對圖像處理發展了很多邊緣檢測演算法，例如roberts運算元， sobel運算元， marr邊緣檢測演算法等等。 -
Because the actual work environment of the mobile robot is complexity, on the base of analysis of several edge extract operators, the sobel operator has been selected to accomplish the edge extract in this thesis
根據移動機器人的工作環境比較復雜的情況，在分析比較了幾種常用的邊緣提取運算元的基礎上，本文選擇了sobel運算元進行了邊緣提取。 -
A sobel edge operator and an edge detection algorithm based on cp neural network was employed in this thesis, to achieve image processing of target digital images collecting from static explosion test of fragment warhead, and exactly detecting and analyzing of target fragments numbers, and also the ratio of perforation of fragments from the test, through which more accurate tactics performance characters can be obtained for warhead lethality assessment
本文採用sobel邊緣運算元和一種基於cp神經網路的邊緣檢測方法，對破片戰斗部靜爆試驗后所採集的目標靶板數字圖像進行了圖像處理，實現了對目標靶板破片數量及破片穿透率試驗統計數據的準確檢測與分析，為破片戰斗部殺傷威力評估提供了較為精確的技戰術指標。 -
After the study of the traditional algorithms of feature extraction and boundary tracking, the edge detection method based on combination of - correction and sobel edge operator has been realized
對于圖像的特徵提取和圖像分割，論文在對傳統的邊緣提取和輪廓跟蹤演算法進行研究之後，提出了校正和sobel運算元相結合的邊緣提取演算法。
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