外文翻譯----基于數(shù)字圖像處理技術(shù)的邊緣特征提取

1、中文 中文3827 3827字外文資料 外文資料Edge Feature Extraction Based on Digital Image Processing TechniquesAbstract Edge detection is a basic and important subject in computer vision and image processing. In this paper we discuss sever

2、al digital image processing techniques applied in edge feature extraction. Firstly, wavelet transform is used to remove noises from the image collected. Secondly, some edge detection operators such as Differential edge

3、 detection, Log edge detection,Canny edge detection and Binary morphology are analyzed. And then according to the simulation results, the advantages and disadvantages of these edge detection operators are compared. It is

4、 shown that the Binary morphology operator can obtain better edge feature. Finally, in order to gain clear and integral image profile, the method of bordering closed is given. After experimentation, edge detection metho

5、d proposed in this paper is feasible. Index Terms-Edge detection, digital image processing,operator, wavelet analysisI. INTRODUCTIONThe edge is a set of those pixels whose grey have step change and rooftop change, and it

6、 exists between object and background, object and object, region and region, and between clement and clement. Edge always indwells in two neighboring areas having different grey level. It is the result of grey level bein

7、g discontinuous. Edge detection is a kind of method of image segmentation based on range non-continuity. Image edge detection is one of the basal contents in the image processing and analysis, and also is a kind of issu

8、es which are unable to be resolved completely so far. When image is acquired, the factors such as the projection, mix, aberrance and noise are produced. These factors bring on image feature's blur and distortion, c

9、onsequently it is very difficult to extract image feature. Moreover, due to such factors it is also difficult to detect edge. The method of image edge and outline characteristic's detection and extraction has been r

10、esearch hot in the domain of image processing and analysis technique.Edge feature extraction has been applied in many areas widely. This paper mainly discusses about advantages and disadvantages of several edge detecti

11、on operators applied in the cable insulation parameter measurement. In order to gain more legible image outline, firstly the acquired image is filtered and denoised. In the process of denoising, wavelet transformation

12、is used. And then different operators are applied to detect edge including Differential operator, Log operator, Canny operator and Binary morphology operator. Finally the edge pixels of image are connected using the me

13、thod of bordering closed. Then a clear and complete image outline will be obtained.II. IMAGE DENOISINGAs we all know, the actual gathered images contain noises in the process of formation, transmission, reception and pr

14、ocessing. Noises deteriorate the quality of many advantages such as the strong adaptive ability, calculating quickly, completely reconstructed, etc. So the signal to noise ratio of image can be improved effectively maki

15、ng use of wavelet transform.III. EDGE DETECTIONThe edge detection of digital image is quite important foundation in the field of image analysis including image division, identification of objective region and pick-up of

16、region shape and so on. Edge detection is very important in the digital image processing, because the edge is boundary of the target and the background. And only when obtaining the edge we can differentiate the target

17、and the background.The basic idea of image detection is to outstand partial edge of the image making use of edge enhancement operator firstly. Then we define the `edge intensity' of pixels and extract the set of edge

18、 points through setting threshold. But the borderline detected may produce interruption as a result of existing noise and image dark. Thus edge detection contains the following two parts:1)Using edge operators the edge

19、points set are extracted. 2)Some edge points in the edge points set are removed and a number of edge points are filled in the edge points set. Then the obtained are connected to be a line.The common used operators are th

20、e Differential, Log, Canny operators and Binary morphology, etc.A. Differential operatorDifferential operator can outstand grey change. There are some points where grey change is bigger. And the value calculated in those

21、 points is higher applying derivative operator. So these differential values may be regarded as relevant `edge intensity' and gather the points set of the edge through setting thresholds for these differential value

22、s.First derivative is the simplest differential coefficient. Suppose that the image is f(x,y) ,and its operator is the first order partial derivative, .They represent ?f/?x,?f/?ythe rate-of-change that the gray f is in

23、 the direction of x and y.Yet the gray rate of α change in the direction of a is shown in the equation (1):1)?f?α =?f?xcosα +?f?ysinα (Under consecutive circumstances,the differential of the function is df=?f?xdx +?f?y.

24、The direction derivative of function f(x,y) has a maximum at a certain point. And dythe direction of this point is arctan[ ] .The maximum of direction derivative is ?f?y/?f?x.The vector with this direction and modulus i