A Database of Human Segmented Natural Images and its Application to
A Database of Human Segmented Natural Images and its Application to
An empirical approach to grouping and segmentation
An empirical approach to grouping and segmentation
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Toward Objective Evaluation of Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation evaluation: A survey of unsupervised methods
Computer Vision and Image Understanding
Taxonomy of nominal type histogram distance measures
MATH'08 Proceedings of the American Conference on Applied Mathematics
Short communication: An evaluation metric for image segmentation of multiple objects
Image and Vision Computing
Complex wavelet structural similarity: a new image similarity index
IEEE Transactions on Image Processing
Design of statistical measures for the assessment of image segmentation schemes
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Similarity metrics for surgical process models
Artificial Intelligence in Medicine
A similarity metric for edge images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Comparisons of two microscopy images can be accomplished in many different ways. This paper presents a system that recommends appropriate similarity metrics for microscopy image comparisons based on biological application requirements. The motivation stems from the fact that task requirements can drive the automatic selection of a similarity metric. The suitability of a particular image similarity metric is modeled as the sensitivity and invariance of the metric to microscopy image content and the associated dynamic changes of this content.. In this paper, we describe a mathematical and experimental basis of an image similarity metric recommendation system. In this system, we build a database of sensitivity signatures, and query this reference database to retrieve a similarity metric based on given biological requirements. We illustrate a prototype recommendation system based on synthetic and measured images for spectral calibration and spatial registration applications.