Assessment of image processing algorithms as the keystone of autonomous robot control architectures
Imaging and vision systems
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Region-Boundary Cooperative Image Segmentation Based on Active Regions
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Using duration models to reduce fragmentation in audio segmentation
Machine Learning
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distance measures for image segmentation evaluation
EURASIP Journal on Applied Signal Processing
An Efficient Hillclimbing-based Watershed Algorithm and its Prototype Hardware Architecture
Journal of Signal Processing Systems
Evaluation Protocol for Localization Metrics
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Image segmentation algorithm development using ground truth image data sets
Computer Vision and Image Understanding
Balancing the Role of Priors in Multi-Observer Segmentation Evaluation
Journal of Signal Processing Systems
A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Evaluation of Segmentation Techniques Using Region Size and Boundary Information
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A new supervised evaluation criterion for region based segmentation methods
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Adaptive Rough Entropy Clustering Algorithms in Image Segmentation
Fundamenta Informaticae
Performance measures for object detection evaluation
Pattern Recognition Letters
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Simultaneous estimation of chords and musical context from audio
IEEE Transactions on Audio, Speech, and Language Processing
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Evaluation of image segmentation algorithms from the perspective of salient region detection
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Computing morse decompositions for triangulated terrains: an analysis and an experimental evaluation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
An information-theoretic external cluster-validity measure
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Evaluation of segmentation techniques using region area and boundary matching information
Journal of Visual Communication and Image Representation
Performance evaluation of image segmentation
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Image segmentation evaluation by techniques of comparing clusterings
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A subjective method for image segmentation evaluation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Evaluation of color image segmentation algorithms based on histogram thresholding
VLBV'05 Proceedings of the 9th international conference on Visual Content Processing and Representation
SMI 2013: Generalized extrinsic distortion and applications
Computers and Graphics
SMI 2013: New evaluation metrics for mesh segmentation
Computers and Graphics
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Two sets of measures are proposed in this paper for quantitatively evaluating segmentation results. The first set is designed for the situation where ground truth is available; while the second for the situation where ground truth is not available. Based on a test bank of more than 50 images for which ground truth is available, we computed both sets of evaluation measures and then correlated the two sets. Experimental results show that the first set of measures proposed agree with human (subjective) visual evaluation and the second set of measures correlates well with the first set, an indication of the usefulness of this set of measures in assessing the quality of image segmentation results even when ground truth is not available.