ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

ROAD DETECTION USING MORPHOLOGICAL OPERATIONS IN A COMPLEX SCENARIO

Journal: ICTACT Journal on Image and Video Processing (IJIVP) (Vol.4, No. 2)

Publication Date:

Authors : ; ;

Page : 702-708

Keywords : Imbalanced Data; Image Classification; Supervised Classification; Unsupervised Classification; DOG Filter;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

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.

Last modified: 2013-12-05 18:28:44