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» Image preprocessing for CBIR system
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ESWA
2008
127views more  ESWA 2008»
13 years 7 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
ICIP
2002
IEEE
14 years 9 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
ICPR
2002
IEEE
14 years 8 months ago
Preprocessing and Recognition of Characters in Container Codes
This paper describes the recognition of container code characters. The system has to deal with outdoor images which usually have damaged characters and obtain an answer in real ti...
Alberto J. Pérez Jiménez, Gabriela A...
CIVR
2004
Springer
100views Image Analysis» more  CIVR 2004»
14 years 1 months ago
STRICT: An Image Retrieval Platform for Queries Based on Regional Content
This paper presents a CBIR system that is based on a segmented representation of image content. It compares regional features using fuzzy similarity, which have been shown to be ps...
Jean-François Omhover, Marcin Detyniecki
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
14 years 1 months ago
A content-based image retrieval scheme allowing for robust automatic personalization
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...