A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Shape Classification Using Contour Matching in Distance Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Journal of Mathematical Imaging and Vision
An Active Testing Model for Tracking Roads in Satellite Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sewage pipe image segmentation using a neural based architecture
Pattern Recognition Letters - Special issue on neural networks for computer vision applications
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Prospects in Line Detection by Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Methods for Ridge and Valley Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Presence: Teleoperators and Virtual Environments - Virtual environments: Virtual environments and mobile robots: Control, simulation, and robot pilot training
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Using Crest Lines to Guide Surface Reconstruction from Stereo
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Automated underground pipe inspection using a unified image processing and artificial intelligence methodology
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
IEEE Transactions on Image Processing
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
IEEE Transactions on Image Processing
Systematic image quality assessment for sewer inspection
Expert Systems with Applications: An International Journal
Morphological segmentation based on edge detection for sewer pipe defects on CCTV images
Expert Systems with Applications: An International Journal
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Cracks in underground pipeline images are indicative of the condition of buried infrastructures like sewers and water mains. This paper presents a three step method to identify and extract crack-like structures from pipe images whose contrast have been enhanced. The proposed method is based on mathematical morphology and curvature evaluation that detects crack-like patterns in a noisy environment. Careful observation reveals that the cracks resemble a tree-like geometry in most cases which can be a usable feature for registration between successive images of the same region taken from various depths in the thickness of the buried pipe (3D visualization). In this study, segmentation is performed with respect to a precise geometric model to define crack-like patterns. Cracks in pipe images can be defined as clearly visible patterns (darkest in the image), locally linear and branching in a piece-wise fashion. First, the cracks are enhanced by mathematical morphology with respect to their spatial properties. In order to differentiate cracks from analogous background patterns, cross-curvature evaluation followed by linear filtering is performed. We discuss its implementation on 225 pipe images taken from various cities in North America and statistically evaluate its accuracy and robustness with respect to varying pipe background color, crack geometries and background noise.