This paper proposes a simple and novel feature descriptor for face recognition called local
diagonal extrema number pattern (LDENP). LDENP produces a compact code of facial …

Medical imaging requires capturing different aspects of a human body. To capture tissues,
cartilages, bones and nerves one needs different sensors and different modalities which …

Real-time image processing on low cost embedded systems is still a challenging research
area. For this embedded platform, there is a trade-off between accuracy and processing …

Pedestrian detection is challenging in infrared images because of the low signal-to-noise
ratio (SNR), low contrast, lack of shape, and complex background. In this paper, an adaptive …

A microvascular impediment, diabetic retinopathy, is observed due to long‐term diabetes
and is one of the significant reasons for visual impedance because of variations in veins of …

Satellite imaging is the order of the day. Automatic oil tank detection is one of the important
domains in satellite image processing which could be used for disaster monitoring, oil …

Pedestrian detection is a significant problem in infrared (IR) images that find varieties of
applications in defense systems. The performance of the state-of-the-art of pedestrian …

The contrast enhancement, brightness preserving and natural look of the output image plays
an important role in an infrared (IR) image enhancement process. There are several IR …

Image noise removal (denoising) is a significant preprocessing step in image processing
research domain. In past decades, various noise removal algorithms have been developed …

Pedestrian classification is a major problem in infrared (IR) images due to lack of shape, low
signal-to-noise ratio and complex background. And it find applications in agriculture …