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A fast and low-cost method to detect nearduplicate Images in large dataset based on fingerprint extraction and Deep Learning
(Biblioteca Digital wdg.biblioUniversidad de Guadalajara, 2023-03-16)
Recognizing near-duplicate images from large datasets is a crucial task in image retrieval
and content identification. Finding similar images in order to reduce redundancy is timeconsuming in large datasets. Most of image ...
Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework
The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
HTS: A new shape descriptor based on Hough Transform
(2013-09-09)
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental ...
Identification Model for Large Remote Sensing Datasets Applied to Environmental Analysis within Mexico
(Institute of Electrical and Electronics Engineers, 2017)
Image registration and image interpolation in volume rendering of cross sections
(1995-12-01)
We outline a method for registration of images of cross sections using the concepts of The Generalized Hough Transform (GHT). The approach may be useful in situations where automation should be a concern. To overcome known ...