This study has developed three Logistic Regression Models to determine and analyze the
factors that could affect knowledge, attitude and behavior of the urban poor concerning solid …

The rapid expansion of digital data content has led to the need for rich descriptions and
efficient Retrieval Tool. To develop this, content based image Retrieval method has played …

The need of content—based image retrieval tools increases with the enormous growth of
digital medical image database. Classification of images is an important step of content …

One of the challenges in image and video retrieval is the content-based retrieval of images
and videos in the web. Less work has been done in this area, mainly due to scalability …

Grouping images into semantically meaningful categories using the low-level visual features
is a challenging and important problem in content-based image retrieval and other …

The problem of edge-based classification of natural video sequences containing buildings
and captured under changing lighting conditions is addressed in this letter. The introduced …

An approach for classification of building images through rule-based fuzzy inference is
presented. It exploits rough matching and problem domain knowledge to improve precision …

7th International Conference on Advanced Technologies (ICAT'18) has been organized in
Antalya, Turkey on April 28-May 1, 2018. The main objective of ICAT'18 is to present the …

ABSTRACT A technique for detection of building images in real-world video sequences is
presented. It combines fuzzy rulebased classification with a modified shading model method …

Many CBIR systems have been developed, but the problem of retrieving images on the
basis of their pixel content remains largely unsolved. Different implementations of CBIR …