Today, large amount of data are stored in image format. Content based image retrieval from
bulk databases has become an interesting research topic in last decade. Most of the recent …

Cow is one of the animals that have many benefits for humans. There are various types of
cows based on benefits such as dairy cows, beef cattle, worker cattle, and others. Cattle …

Image retrieval performance can be improved by training a convolutional neural network
(CNN) model with annotated data to facilitate accurate localization of target regions …

Abstract Content-Based Image Retrieval (CBIR) systems work by searching huge databases
for similar images that match a query image. The CBIR systems depend on computing …

With the invention in digital technology, has the lead rise in tremendous growth in a large
volume of digital image databases. So searching and retrieving the user's interest image …

Colour feature indexing for images has seen several approaches such as Conventional
Colour Histogram, Colour Coherent Vector, Colour Moment and Colour Correlogram. These …

Nowadays, user expects image retrieval systems using a large database as an active
research area for the investigators. Generally, content-based image retrieval system …

Content-Based Image Retrieval is a process to retrieve the similar images from the large set
of image database corresponding to the query image. In CBIR low level or pixel level …

Image retrieving is a significant approach in computer vision application and got more
attention from researchers in recent years. This attention came from a lack of control the …

In the paper, we propose color content descriptors of images by vector quantization in RGB
color space compared to scalar ones. In order to obtain a much more accurate discrete …