Some properties of the exponential entropy
Information Sciences: an International Journal
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Unsupervised Evaluation of Image Segmentation Application to Multi-spectral Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearness of Objects: Extension of Approximation Space Model
Fundamenta Informaticae - Special Issue on Concurrency Specification and Programming (CS&P)
Information Sciences: an International Journal
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Tolerance near sets and image correspondence
International Journal of Bio-Inspired Computation
Objective evaluation of video segmentation quality
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Nearness of subtly different digital images
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis
Transactions on Rough Sets XV
Nearness of subtly different digital images
Transactions on Rough Sets XVI
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The problem considered in this paper is one of extracting perceptually relevant information from groups of objects based on their descriptions. Object descriptions are qualitatively represented by feature-value vectors containing probe function values computed in a manner similar to feature extraction in pattern classification theory. The work presented here is a generalisation of a solution to extracting perceptual information from images using near sets theory which provides a framework for measuring the perceptual nearness of objects. Further, near set theory is used to define a perception-based approach to image analysis that is inspired by traditional mathematical morphology and an application of this methodology is given by way of segmentation evaluation. The contribution of this article is the introduction of a new method of unsupervised segmentation evaluation that is base on human perception rather than on properties of ideal segmentations as is normally the case.