This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

Separation of text and non-text is an essential processing step for any document analysis
system. Therefore, it is important to have a clear understanding of the state-of-the-art of …

Text mining, also known as Intelligent Text Analysis is an important research area. It is very
difficult to focus on the most appropriate information due to the high dimensionality of data …

Traffic incident detection plays an important role for a broad range of intelligent transport
systems and applications such as driver-assistant, accident warning, and traffic data …

Plant disease identification is an important application for plant protection in agriculture
production. The early detection of crop disease helps to reduce the effect of disease in …

In image processing, clustering or data grou** is the main initial process. In today's
scenario, company data base size has increased significantly, with large amount of text and …

In this paper, we propose a method for recognizing human visual attention by utilizing the
image data. In our method, human visual attention is recognized in three steps: data …

This paper presents a multilevel image segmentation technique for extraction of texts from
document images at a faster rate. Rectangular sum-table based concept (known as integral …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogrambased color images at multiple levels of Berkley Segmentation …