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» Leaf Image Retrieval with Shape Features
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ITCC
2005
IEEE
15 years 3 months ago
A Comparative Study of Three Moment-Based Shape Descriptors
Shape is one of the fundamental visual features in the Content-based Image Retrieval (CBIR) paradigm. Numerous shape descriptors have been proposed in the literature. These can be...
M. Emre Celebi, Y. Alp Aslandogan
ICDAR
2009
IEEE
15 years 4 months ago
Keyword Spotting in Document Images through Word Shape Coding
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
Shuyong Bai, Linlin Li, Chew Lim Tan
ICIAP
2007
ACM
15 years 3 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi
127
Voted
CVPR
1997
IEEE
1944views Computer Vision» more  CVPR 1997»
15 years 11 months ago
Image Indexing Using Color Correlograms
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effec...
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu...
ICIP
2005
IEEE
15 years 3 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...