Computer vision-based crack-like object detection has many useful applications such as inspecting/monitoring pavement surface underground pipeline bridge cracks railway tracks etc. However in most contexts cracks appear as thin irregular long-narrow objects and often are buried in complex textured background with high diversity which make the crack detection very challenging. During the past a few years deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems. This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem crack-like object detection to dig deep into the deep learning method. It includes examples of real-world problems which are easy to understand and could be a good tutorial for introducing computer vision and machine learning. . Language: English