In last decade, large database of images have grown rapidly and will continue in future.
Retrieval and querying of these image in efficient way is needed in order to access the …

In communication, medium images are used for various applications such as social
websites, education, bio-medical field and industrial applications. Indexing and retrieval of …

Phosphorus (P) is an essential macro-nutrient required for growth and development of all
crop plants including rice. Low availability of P in the soils manifests in terms of impeding …

With an ever-increasing use and demand for digital imagery in the areas of medicine,
sciences, and engineering, image retrieval is an active research area in image processing …

Last two decades have seen a rapid increase in the size of digital image collections. Content
based image retrieval (CBIR) provides an efficient way to search and retrieve images from …

Nowadays, the majority of images are in JPEG and MPEG compressed formats, and
JPEG2000 is considered to be the next generation of compression standard due to the …

Efficient multimedia retrieval has become a vital issue because more audio and video data
are now available. This paper focuses on content-based image retrieval (CBIR) in the …

This paper, we proposed a novel framework for combining and weighting all of three ie
color, shape and texture features to achieve higher retrieval efficiency. The color feature is …

Content based image retrieval (CBIR), is an application of real-world computer vision
domain where from a query image, similar images are searched from the database. The …

Recently, very large collections of images and videos have grown rapidly. In parallel with
this growth, content-based retrieval and querying the indexed collections are required to …