change-detection image 中文意思是什麼
change-detection image
解釋
變化檢測圖象-
To corner feature, both gradient magnitude change and direction change of gradient vector are discontinuity in a local image neighborhood, hence gradient - direction variation and gradient magnitude are used as another decision rule of the corner detection to improve antinoise
為了提高抗噪聲，根據角特徵不僅灰度變化是不連續的，且相對周圍其他點的梯度方向也是不連續的，提出利用梯度角變化和梯度幅值作為角特徵檢測的另一個準則。 -
This paper studies urban change detection with sar images. this paper discusses widely - used change detection techniques and mainly studies image differencing method
本文對當前常用的變化檢測技術進行了討論，主要研究了圖像差值變化檢測方法。 -
First, the paper introduces the basic knowledge of the image processing technique, emphasizes the image processing method that is used in the measur - ement system, such as edge detection operator, curve fitting algorithm, espe - cially hough change in detail, etc. second, the paper introduces the vc + + 6. 0 program language, analyses its peculiarity and advantage, explains the form of the image in the computer and dib visiting functions
首先，介紹了圖像處理方法的基礎知識，特別重點講述了在本系統中將會應用到的一些圖像處理方法，如邊緣檢測運算元、曲線擬合演算法等等，尤其是對于哈夫變換的方法，進行了詳細闡述。其次，介紹了本系統所應用的編程語言vc + + 6 . 0 ，分析了其特點和優點，並說明了模擬圖像數字化后，在計算機里的存儲格式以及相應的設備無關位圖訪問函數。 -
Some features and feature groups that can well show the characteristics of urban environment are founded through experiment to compare the performances of different features. for all the researches in this paper, the radarsat images in 1998 and 2000 and the spot image in 2000 of beijing and field survey data are used to validate. the experimental result demonstrates that a higher change detect accuracy can be obtained < wp = 4 > through the texture differencing method than through the image differencing method based on gray level and the wide application of texture differencing method for urban change detection in sar images
本文開展的各項研究工作，均使用北京地區1998年、 2000年radarsat圖像、 2000年spot圖像及實地考察數據進行了驗證，實驗結果表明，與灰度差值法相比，本文所提出的紋理差值變化檢測方法獲得了更好的檢測結果，也表明了紋理差值變化檢測方法在合成孔徑雷達圖像和變化檢測中良好的應用前景。 -
The cross - zero detection of wavelet transform could detect the gradation image sudden change information, at the same time it could be express the characteristic information the original map ( namely image function plants " jump point " )
小波過零檢測可以很好的檢測到灰度圖像的突變信息，同時可以很好的表示出原圖像灰度跳變（即圖像函數種的「拐點」 ）的特徵信息。 -
Using vc + + 6. 0 as the development platform, the system combines the common processing and analyzing image by means of image geometry change, process enhancement, edge detection, region segmentation, feature extraction and so on. based on the image processing and recognition, the system realizes the functions of color recognition, shape recognition and inspection under the laboratorial environment
課題主要使用的開發平臺為vc + + 6 . 0 。系統集成了圖像處理和分析的常用演算法，包括圖像的幾何操作，圖像的增強操作，圖像的邊緣檢測演算法、圖像區域分割、圖像的形狀參數提取等;並在此基礎上實現了實驗環境下零件顏色識別，形狀識別和缺陷檢測等功能。 -
The change detection based on the clustering of the imagery is proposed to achieve change detection of the large area targets. the steps of this change detection method are : registering the multi - date image pairs, clustering the image pairs respectively, finding differences of the clustered - image pair, marking the differences using the striking colors in the copies of the image pair
對于檢測大面積目標的變化，本文使用基於圖像聚類的變化檢測方法，實現步驟為：多時相圖像配準、分別聚類參考圖像和檢測圖像、尋找參考圖像和檢測圖像聚類結果中具有類別差異的像素、在原始圖像的副本中用醒目顏色標注變化部分。 -
Based on the gradual intensity change of the image, a new redefinition of the region of usan and a more efficient and simple method to compute the region area are suggested. and thus a new corner detection algorithm rsusan ( redefined susan ) is proposed
根據圖像邊緣灰度的漸變性，重新定義角點檢測susan （ smallunivaluesegmentassimilatingnucleus ）演算法中小核值相似區的定義，並找到一種更為簡便有效的計算小核值相似區面積的方法，在此基礎上提出了rsusan （ redefinedsusan ）角點檢測演算法。 -
The steps of this change detection method are : registering the multi - date image pairs, modeling the specific targets, detecting the specific targets, determining the positions of the specific targets, comparing the positions of the specific targets in the reference image and the detecting image respectively, reporting the change information
該變化檢測法的工作流程為：多時相圖像配準、特定類目標建模、檢測特定類目標、確定特定類目標的位置、比較特定類目標在參考圖像和檢測圖像中的位置、報告變化情況。 -
Image difference is the most direct change detection method for change area extraction, but the gray difference image that is only based on spectral feature is difficult in describing the structure change of an objects
圖像差分是實現變化區域檢測的最直接方法，但是僅僅根據地物光譜特徵差異得到的灰度差分圖像難以表徵地物局部結構的變化。 -
On the base of system analysis for change detection, some key theories and approaches in change detection and its applications are researched in this dissertation, which include image registration, radiometric correctionand and some change detection theories and approaches such as image transformation, image difference and structure feature analysis
在對變化檢測做了系統分析的基礎上，論文圍繞變化檢測中的一些關鍵理論方法進行了研究，主要涉及:圖像配準與輻射校正等預處理方法和基於圖像變換、圖像差分與幾何結構特徵分析的變化檢測方法。 -
The change detection process performed by unsupervised techniques is usually divided into three main sequential steps : pre - processing, image comparison ( to generate difference image ) and analysis of the difference image
非監督圖象變化檢測過程通常可以分為預處理、圖象比較（得到差異圖象）和差異圖象分析三個步驟。 -
Multitemporal image registration and radiometric corrections are two important preprocessing methods of the various requirements for change detection, whose accuracy could directly affect the capability of change detection
圖像配準和輻射校正是變化檢測中兩項關鍵的預處理過程，處理精度將直接影響變化檢測的性能。 -
The steps of this change detection are : registering the multi - date image pairs, regularizing the image pairs, extracting the edges of the image pair, matching the edges of the edge - image pair, computing the edge difference image pair, marking the difference edges in the copies of the image pair
該變化檢測法的工作流程為：多時相圖像配準、圖像標準化、提取參考圖像及檢測圖像的邊緣、匹配邊緣圖像中的邊緣並獲得邊緣差分圖像、標注變化情況。邊緣檢測運算元的性能直接影響變化檢測結果。 -
Image change detection techniques aim to detect the changes in the same area over time
圖像變化檢測技術旨在檢測同一區域不同時間的變化情況。
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