Journal of Image Processing & Pattern Recognition Progress
Volume 5, Issue 3 (2018)
Published
Table of contents
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A Survey based on Image Segmentation for various Approaches
Abstract: The procedure of image segmentation is the system by means of which a given picture is segmented into a few sections with the end goal to examine into more reasonable shape. The image segmentation has incredible significance in the region of image processing. There are certain elements that influence the procedure of picture segmentation like the intensity of picture to be segmented, color, type and the commotion present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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Synthetic Iris as a Vulnerability of Iris Recognition System
Abstract: AbstractVulnerability usually refers to a security flaw due to a program failure, manual interruption or the like and means a state in which the system security can be compromised against illegal access from the outside world. Iris Recognition systems have been used as a means of authentication for quite some time now. Recently, it has been found that iris recognition systems can be tricked. The tried ways of befooling iris …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 15–21 Read article
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A Detailed Survey On The Quantification Of The Cardiac Fat Depots On The Cardiac CT Scans And MRI Scans.
Abstract: Cardiac fat depots are associated with the heart diseases.Epicardial fat and thoracic fat plays the major role in the development of cardiovascular disease.The increased thickness of the epicardial and thoracic fat leads to several diseases such as metabolic syndrome,coronaryatherosclerosis,etc.It is necessary to quantify the epicardial adipose tissue(EAT) and thoracic adipose tissue(TAT).There are various imaging and assessing techniques for the epicardial adipose tissue (EAT) quantification and thoracic adipose tissue(TAT) quantification.These tissues …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 22–28 Read article
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Analysis of Prior Based Fog Removal Methods
Abstract: Fog is defined as the weather condition in which visibility becomes less than 1000 m. Fog is caused due to plenty of reasons like bad weather, pollution, drizzle etc. Images degraded by fog have poor contrast and colour allegiance. The efficiency of image-based applications highly degrades due to foggy input images. So fog removal of images is a necessary task in computer vision applications and computational photography. This paper highlights …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 29–37 Read article
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Image Classification using Convolutional Deep Neural Networks
Abstract: Thousands of images are generated every day, which implies the necessity to classify and access them by an easy and faster way. The main objective of classification is to identify the features occurring in the image. Neural networks (NNs), inspired by biological neural system, are a family of supervised machine learning algorithms that allow machine to learn from training instances as mathematical models. NNs have been widely applied in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 7–14 Read article