ROAD DETECTION USING MORPHOLOGICAL OPERATIONS IN A COMPLEX SCENARIO

Image classification is an important research area in computer vision. Organizing images into semantic categories can be extremely useful for searching and browsing through large collections of images. It is a challenging task in various application domains, including satellite image classification,...

Full description

Saved in:
Bibliographic Details
Published inICTACT journal on image and video processing Vol. 4; no. 2; pp. 702 - 708
Main Authors Joseph, Neetha, E, Jyotsna
Format Journal Article
LanguageEnglish
Published ICT Academy of Tamil Nadu 01.11.2013
Subjects
DOG Filter
Image Classification
Imbalanced Data
Supervised Classification
Unsupervised Classification
Online AccessGet full text
ISSN0976-9099
0976-9102
DOI10.21917/ijivp.2013.0102

Cover

More Information
Summary:Image classification is an important research area in computer vision. Organizing images into semantic categories can be extremely useful for searching and browsing through large collections of images. It is a challenging task in various application domains, including satellite image classification, syntactic pattern recognition, medical diagnosis, biometry, video surveillance, vehicle navigation, industrial visual inspection, robot navigation etc. There are different approaches for image classification and imbalanced data classification. This paper provides a review of different methods for classifying images and imbalanced data classification. This paper proposes a method for road detection and highlights the importance of the imbalanced data classification in detecting the road in a complex scenario.
ISSN:0976-9099
0976-9102
DOI:10.21917/ijivp.2013.0102