Indrawing on the Picture Edge Based on Wavelet Technology
Have studied the wave technologys application in drawing on the picture edge, the local segmentation problem preliminarily solved existing in the picture. The traditional chain-length concept is discarded and the percentage concept of the chain is proposed. The edge-growth method is adopted to get the good closed image. The edges checked by wavelet transforms are of single pixel and accurate orientation and wavelet transform on every image scale can see some edge information. An evident method is to integrate all edge images with all scales in an attempt to play their different advantages to gain accurate edge with wide single pixel.Based on peculiarities of wavelet transform, we can adopt a special general arithmetic to obtain image edge with wide single pixel. Taking advantage of wavelet transform technology, we can not only avoid some trivial and uncertainty brought by setting gray threshold but also wavelet has anti-noise function and is able to capture image details. Most importantly, wavelet can be usable in all images with various gray levels. Firstly, we use designed adaptive filter to filter the waves and then transform wavelet for three times, so we can see wave filter maintain edge while getting rid of noises,Lastly the image segmentation is implemented by finding large regions.
CT image gaosi_ filter wavelet edge-growth picture edge large regions
Hu Wei Wang Yuanzhi Luo Yun Chen Liwei
Department of Computer Science & Engineering,Mianyang Normal University,Mianyang 621000 China School of Computer and Information,Anqing Normal College,Anqing 246011 China College of Computer Science & Technology,Southwest University of Science and Technology,Mianyang 621
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）