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Segmentation of color images by chromaticity features using self-organizing maps
(Universidad Nacional de Colombia, 2016)
Robust lane marking detection based on multi-feature fusion
(07/06/2016)
In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which ...
Study on image analysis application for identification Quinoa seeds (Chenopodium quinoa Willd) geographical provenance
(ELSEVIER SCIENCE BV, 2010)
In quality control procedures of biological materials, the geographical provenance is an important information to know. Image analysis is an accessible method that can provide this data. In this work, the geographical ...
LOCATION AND CLASSIFICATION OF MOVING FRUITS IN REAL TIME WITH A SINGLE COLOR CAMERA
(INST INVESTIGACIONES AGROPECUARIAS, 2009)
Quality control of fruits to satisfy increasingly competitive food markets requires the implementation of automatic visual servo systems in fruit processing operations to cope with market challenges. A new and fast method ...
Automatic classification of citrus aurantifolia based on digital image processing and pattern recognition
(Proceedings of SPIE - The International Society for Optical Engineering, 2020)
Automatic classification of citrus aurantifolia based on digital image processing and pattern recognition
(Proceedings of SPIE - The International Society for Optical Engineering, 2020)
Classification of potato chips using pattern recognition
(WILEY, 2004)
An approach to classify potato chips using pattern recognition from color digital images consists of 5 steps: (1) image acquisition, (2) preprocessing, (3) segmentation, (4) feature extraction, and (5) classification. Ten ...
Location and Classification of Moving Fruits in Real Time with a Single Color Camera
(Instituto de Investigaciones Agropecuarias, INIA, 2009)
Global, semi-global and local color angular features for unsupervised face recognition
(Curitiba, 2003)
In face recognition applications, dealing with images under different conditions is a challenging task because they can affect dramatically the recognition performance. Among many image features, color is an useful feature ...