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.