Abstract: A method (30) is provided for the detection and analysis of anomalies (32) in a road surface (36). An image (34) of the road surface (36) is obtained (82) wherein traffic control markings (76) are masked (88). The image (34) is filtered (90) and a pixel map (92) is produced (98). The pixel map (92) is partitioned (112) into a multiplicity of subimages (108). For each subimage (108), anomaly parameters are identified (120) and a status characteristic is determined (124) and assigned (136). A subimage map (138) is produced (142) depicting the subimages (108) and their status characteristics. A determination (156) is made as to which subimages (108) contain anomalies (32). Anomaly-containing subimages (108) are grouped (158) into anomalous objects (152). For each anomalous object (152), an object type (162) is determined (160) and assigned (164). An object map (154) is then produced (166) depicting the anomalous objects (152).