Through comparison of a sequent of images from edge extraction by mean of haar, sobel and biorthogonal wavelet with original ones,the correlativity coefficient is as 0.75 ~0.85, 0.8~0.85 and 0.85~0.95 respectively.
4. 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.
The algorithm use image differ- ence to the two collected and seriate image after image registration, then multiply the difference image after binarizing and the second image after edge extract by pixel, then detect the target.
The system can binarizate,edge extract,object grade the fogdrop image. The area ratio and long axis of fogdrop can be calculated or measured automatically. At last,the Excel table and chart is exported for many statistic use.
The proposed scheme consists of four steps: preprocessing, edge extraction, edge decision, and postprocessing.
In the edge extraction and decision steps, a morphological edge extractor is designed to estimate the edge information of an image, and an edge decision criterion is followed to determine whether a pixel is an edge or not.
A luminance edge extraction method using gradient of gray level for synthetic aperture radar imagery
Because of the serious noise of coherent speckle exists in SAR images, some people believe that edge extraction by using gradient for SAR imagery gives poor results.
Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.
A new method for edge detection based on directional space is proposed.
The experiment of edge detection is made for the images of nature scenery, human body and accumulative raw material, whose result is compared with the one of classical algorithms and showing the robustness of the proposed method.
Image edge detection based on multi-fractal spectrum analysis
In this paper, an image edge detection method based on multi-fractal spectrum analysis is presented.
Finally, the image edge detection is done by means of different multi-fractal spectrum values.