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Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Automatic segmentation and classification of human intestinal parasites from microscopy images
(2013-10-01)
Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that ...
Rotation-invariant texture recognition
(Scopus, 2007)
This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method ...
Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Automatic Detection and Recognition of Text-Based Traffic Signs from Images
(Ieee-inst Electrical Electronics Engineers Inc, 2018-12-01)
Detection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented ...
Illumination compensation and normalization in eigenspace-based face recognition: A comparative study of different pre-processing approaches
(ELSEVIER SCIENCE BV, 2008-10-15)
The aim of this work is to investigate illumination compensation and normalization in eigenspace-based
face recognition by carrying out an independent comparative study among several pre-processing algorithms.
This ...
Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
(2021-01-01)
New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be ...