Beeline Detection and Implement Based on Ridgelet Transform

In the area of digital image,the feature detection of an image is an important preprocessing technology which is widely used in the fields of contour and texture analysis.In this paper,based on the Matlab programming environment,the beeline feature detect from the noise image using the ridgelet transform was realized by three steps: 1) the Randon transformation was used to the noised image;2) the three tiers of wavelet transform was used to the domain of ridgelet transform coefficient;3) the ridgelet coefficient was thresholds and the sparse ridgelet coefficient was given,its result can be extract the beeline feature from the image using inverse transform.The method was used to detect beeline feature from the noise images,and the PSNR is large than 17.4.The research show that the ridgelet transform can take out beeline feature from the noise image and the result is favorable.