含噪图像中类线像素DWA和SCR恢复方法

分析了小波、脊波和曲线小波等方法用于含噪图像中类线像素恢复的不足.针对它们的缺点,提出了一种用于各向异性检测的方向算子集合的结构和统一规范.利用粗糙检测、淘汰和平均(DWA)方法,通过检测、淘汰和加权平均,实现了含噪图像中类线像素的恢复;利用收缩、选择和记载(SCR)方法,通过收缩、连接和记载操作,实现了含噪图像中类线像素的分割工作.仿真试验结果证明了提出算子的合理性和相关类线像素恢复及分割方法的准确性、有效性、局限性和一致性.

Coarse DWA Restoration Scheme and SCR Segmentation Method to Line Similar Pixels in Noisy Image

Disadvantages of wavelet, ridgelet, curvelet and other methods for the restoration of line similar pixels in noisy image are analyzed. Then a structure and standard uniformity of directional operators for anisotropy detecting are presented. By using coarse DWA scheme, line similar line pixels in noisy image are restored through the schedule of detection, wash out and weight average. With the program of shrinking, connection and recording, line similar line pixel clusters in noisy image are segmented from each other by means of SCR method. The rationality of directional operators, accuracy, effectiveness, limitation and consistency of relative restoration and segmentation methods are validated by experimental simulation.