✦ LIBER ✦

Measures Based on Fuzzy Similarity for Stereo Matching of Color Images

✍ Scribed by Gustav Tolt; Ivan Kalaykov

Publisher: Springer
Year: 2006
Tongue: English
Weight: 549 KB
Volume: 10
Category: Article
ISSN: 1432-7643
DOI: 10.1007/s00500-005-0034-6

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Weighted fuzzy correlation for similarit

Weighted fuzzy correlation for similarity measure of color-histograms

✍ Hongchen Zhai; Pierre Chavel; Yi Wang; Siyuan Zhang; Yanmei Liang 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 815 KB

Similarity measures of intuitionistic fu

✍ Wen-Liang Hung; Miin-Shen Yang 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 292 KB

This paper presents a new method for similarity measures between intuitionistic fuzzy sets (IFSs). We will present a method to calculate the distance between IFSs on the basis of the Hausdorff distance. We will then use this distance to generate a new similarity measure to calculate the degree of si

Fast gradual matching measure for image

Fast gradual matching measure for image retrieval based on visual similarity and spatial relations

✍ Jean-François Omhover; Marcin Detyniecki 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 370 KB

In this article, we propose a new method to retrieve images containing a request set of regions. The user is asked to specify a set of regions belonging to a single image. Then this request set of regions is compared to the sets of the regions of the images in the database. We propose a comparison m

Fuzzy risk analysis based on measures of

Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers

✍ Shi-Jay Chen; Shyi-Ming Chen 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 456 KB

In this paper, we present a new method for handling fuzzy risk analysis problems based on measures of similarity between interval-valued fuzzy numbers. First, we propose a similarity measure to calculate the degree of similarity between interval-valued fuzzy numbers. The proposed similarity measure

Prediction of the suitability for image-

Prediction of the suitability for image-matching based on self-similarity of vision contents

✍ S.N. Pang; H.-C. Kim; D. Kim; S.Y. Bang 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 447 KB

This paper is concerned with predicting the suitability for image matching to measure the extent to which a specific area in the input image is difficult for image matching. First, we describe a new reinforced anti-noise image matching technique, which is composed of Vision Content Description for M

Human-guided fuzzy decision for image si

Human-guided fuzzy decision for image similarity analysis and classification based on information compression

✍ Gancho Vachkov 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 377 KB

This paper introduces an original unsupervised learning algorithm for information compression that is further used in the proposed fuzzy inference procedure for discovering similarities between different images for the purpose of their classification. Two features extracted from each compressed info