Deep learning is a growing trend in computing. It is an improvement to artificial neural network. Deep Neural Networks are used in image classification, detection and segmentation. In this paper, an overview is carried out about the usage of deep neural network in various areas of image computing including image quality assessment, document imaging, object recognition, medical imaging, content ...

Advances in the medical imaging technology has lead to an exponential growth in the number of digital images that needs to be acquired, analyzed, classified, stored and retrieved in medical centers. As a result, medical image classification and retrieval has recently gained high interest in the scientific community. Despite several attempts, such as the yearly-held ImageCLEF Medical Image Annot...

The study was conducted with the objective of mapping landscape cover of Nechsar National park in Ethiopia to produce spatially accurate and timely information on land use and changing pattern. Monitoring provides the planners and decision-makers with required information about the current state of its development and the nature of changes that have occurred. Remote sensing and Geographical Inf...

This paper presents an application of computer vision techniques, shape analysis and classification in an augmented reality environment. Augmented reality (AR) aims to create user interface in which virtual objects are overlaid on the physical environment. There are many potential AR applications in different fields, like medical visualization, engineering design, maintenance and repair, annota...

Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Technically, medical imaging mainly processes uncertain, missing, ambiguous, complementary, inconsistent, redundant contradictory, distorted data and information has a strong structural character. As a general approach, the understanding of any im...

Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...