Journal of Image Processing & Pattern Recognition Progress
Volume 6, Issue 3 (2019)
Published
Table of contents
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A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Abstract: Abstract: It is already known that both auditory and visual stimulus is able to convey emotions in human mind to different extent. The strength or intensity of the emotional arousal varies depending on the type of stimulus chosen. In this study, we try to investigate the emotional arousal in a cross-modal scenario involving both auditory and visual stimulus while studying their source characteristics. A robust fractal analytic technique called detrended …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Automatic Detection of Diabetic Retinopathy from Fundus Images- A Review
Abstract: Abstract: Diabetes mellitus may cause modifications in the retinal microvasculature prompting diabetic retinopathy (DR). Unchecked, propelled/advanced DR may prompt visual impairment. It very well may be dull and tedious to unravel unpretentious morphological changes in optic disc, microaneurysms, haemorrhages, veins, macula, and exudates through manual review of fundus pictures/images. A computer aided systematic diagnosis can considerably decrease the burden on ophthalmologists and can increase the inter- and intra-observer variability. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 12–23 Read article
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Language Independent Emotion Quantification using Non-linear Modelling of Speech
Abstract: Abstract: At present, emotion extraction from speech is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into consideration the speaking styles of a person, vocal tract information, timbral qualities and other congenital information regarding his voice. Our speech production system is a nonlinear system like most other real-world systems. Hence, the need arises for modeling our speech information using …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 24–30 Read article
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Local Binary Pattern-based Noise Robust Feature for Texture Classification
Abstract: Abstract: The presence of noise degrades the local binary pattern-based classification efficiency. In the present work, a modified local binary pattern ( —modified noise robust local binary pattern) based classification is proposed. In this, a local binary pattern-based feature is modified, which also captures macrostructure information, whereas the existing features capture microstructure texture information only. The new feature is tested on Outex_TC_00010, Outex_TC_00012 and Brodatz datasets for rotation invariant and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 31–47 Read article
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Performance Analysis of Encryption and Decryption Using Chaotic Neural Network
Abstract: Abstract: A neural network is a machine that is designed to model the way in which the brain performs a task or function of interest. It has the ability to perform complex computations with ease. The goal of this task was to examine the utilization of artificial neural networks (ANNs) in different sorts of digital circuits just as in the field of cryptography. During our project, we have studied chaotic …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 8–11 Read article