A Local Visual Operator Which Recognizes Edges and Lines
Journal of the ACM (JACM)
On the optimal detection of curves in noisy pictures
Communications of the ACM
Nonserial Dynamic Programming
Computer edge extraction from photographs of curved objects.
Computer edge extraction from photographs of curved objects.
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Delineation in Noisy Images by a Modified Policy-Iteration Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
New Prospects in Line Detection by Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting Salient Curves from Images: An Analysis of the Saliency Network
International Journal of Computer Vision
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Image Foresting Transform: Theory, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
Adaptive mathematical morphology for edge linking
Information Sciences—Informatics and Computer Science: An International Journal
The influence of perceptual grouping on motion detection
Computer Vision and Image Understanding
Segmentation and border identification of cells in images of peripheral blood smear slides
ACSC '07 Proceedings of the thirtieth Australasian conference on Computer science - Volume 62
Plan-guided analysis of noisy dynamic images
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
A knowledge directed line finder for analysis of complex scenes
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
The influence of perceptual grouping on motion detection
Computer Vision and Image Understanding
Automatic seeded region growing for color image segmentation
Image and Vision Computing
Interactive segmentation of non-star-shaped contours by dynamic programming
Pattern Recognition
A survey of graph theoretical approaches to image segmentation
Pattern Recognition
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This paper presents a method for detecting edges and contours in noisy pictures. The properties of an edge are embedded in a figure of merit and the edge detection problem becomes the problem of minimizing the given figure of merit. This problem can be represented as a shortest path problem on a graph and can be solved using well-known graph search algorithms. The relations between this representation of the minimization problem and a dynamic programming approach are discussed, showing that the graph search method can lead to substantial improvements in computing time. Moreover, if heuristic search methods are used, the computing time will depend on the amount of noise in the picture. Some experimental results are given; these show how various information about the shape of the contour of an object can be embedded in the figure of merit, thus allowing the extraction of contours from noisy pictures and the separation of touching objects.