This research paper presents a comparative study between 14 state of art descriptors which
includes Local Binary Pattern (LBP), Median Binary Pattern (MBP), 6× 6 Multiscale Block …

Fruit yield estimation is one of the challenging tasks using on-plant images to support smart
farming and provide information about the product so that storage and export facility can be …

A brain tumor is an abnormal growth of cells, reproducing themselves in an uncontrolled
manner. In a medical diagnosis system, the accurate detection of location and size plays a …

Palmprint is a commonly used and significant modality for biometric recognition currently.
The coding-based methods are practical for palmprint recognition because they can be free …

Pap smear test is routinely used today to diagnose cervical cancer. In the last 50 years, this
simple test has saved millions of women's lives. Although successful, pap smears are not …

This paper presents a new wavelet-based multi-focus image fusion approach using method
noise and anisotropic diffusion for two separate cases, ie, with and without a reference …

Securing digital medical images is increasingly becoming a major concern due to the rapid
growth of the amount of medical images transferred over a network and stored on the web …

Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

Target detection is the field of hyperspectral imaging where the materials or objects of
interest are detected from images captured by hyperspectral sensors. This methodology has …