Several methods to identify plants have been proposed by several researchers. Commonly,
the methods did not capture color information, because color was not recognized as an …

Color has been extensively used in the process of image retrieval. The dominant color
descriptor (DCD) that was proposed by MPEG-7 is a famous case in point. It is based on …

Identification of proper medicinal plants is quite challenging and it is the time to protect
medicinal plants since several plant species are becoming extinct. Leaves are the key …

The computer science approaches to the classification of painting concentrate on problems
of attribution. While this goal is certainly worthy of pursuit, there are other valid tasks related …

Color features are the key-elements widely used in content-analysis and retrieval. However,
most of them show severe limitations and drawbacks due to their inefficiency of modeling the …

An image feature named Local Triplet Pattern (LTP) is proposed for image retrieval
applications. The LTP feature of an image is a histogram which contains spatial information …

Color is one of the most important and widely used cues in content analysis and retrieval.
However, most promising color descriptors consume massive amounts of computation and …

Identification of medicinal plants correctly is crucial in Ayurvedic medicine. By their visual
characteristics and scent, plants are recognized by human experts. Negative effects could …

Nowadays health information management (HIM) is a challenging area of research. In HIM,
retrieving, storing and interpreting the information regarding the health of patients are …

We propose an automatic image retrieval algorithm defining the best low level features with
the purpose to become adaptive to different image categories from large databases. In …