Journal of Image Processing & Pattern Recognition Progress
Volume 8, Issue 2 (2021)
Published
Table of contents
-
Analysis & Detection Kidney Stone Images using Fuzzy Techniques
Abstract: Kidney Stone is the most debilitating sort in one of the deadliest malignancies type of tumor. Over the a few years the occasion of dangerous tumor has consistently reached out, considering the way that the fix of the disease depends upon its fundamental judgment. Two noteworthy sorts of lung tumor, Small cell & Non-small cell Kidney Stone. The lungs are normally sweeping in measure along these lines tumors can create …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
-
A HYBRID STEGANOGRAPHY APPROACH FOR DATA HIDING
Abstract: Steganography is the strategies for concealing an information or message inside another message or cover picture without attracting any suspect to the others and that he message must be identified by its expected beneficiary. In current terms, steganography is generally executed computationally, where cover works, for example, text records, pictures, sound documents, and video documents are changed so that a mysterious message can be inserted inside them. In this paper …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
-
SMIFD-750: Social Media Image Forgery Detection Database
Abstract: Forgery images or manipulated images are spreading rapidly through popular social media such as Facebook, Twitter etc. Image forgery distorts the main part and uses misinformation and hides important parts of the original images. These threats are strongly evolving that many people are being victimized by these forgery images. This is having a detrimental effect on our society. An abundant number of Image Forgery Detection (IFD) methods are available, but …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 1–11 Read article
-
Virtual Machine Migration in Cloud Computing with optimized Load Balancing
Abstract: Cloud computing (CC) is a provider that makes use of subscription storage and computing power. Load balancing in dispensed structures is one of the most crucial pieces. CC has been a very fascinating and essential location of lookup due to the fact CC is one of the excellent structures that shops information with decreased fees and can be considered over the web at all times. Load stability allows retaining excessive …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 12–24 Read article
-
Improved Melanoma Recognition using Score Fusion Framework based on Deep Classifiers
Abstract: Melanoma is a fast-growing and malignant cancer that affects neural crest-derived cells of the skin. Early detection is the key to survival and rapid recovery; however, typical diagnosis is based on visual inspection by expert dermatologists. Many melanoma recognition methods have been proposed in the literature that can classify lesions, based on hand-crafted as well as deep learning-based features. However, an accurate, automated method for melanoma is still required. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 25–33 Read article
-
Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
-
Smile Detection Techniques in Real-time Video Environment
Abstract: Humans have very good visual system which helps to identify people and objects, perform operations, drive vehicle, read text and so on. Although it might be seen that humans do not take special effort to do most of these tasks. Human visual system is fairly complex to replicate and implement. Computer vision in the simplest term is an automation of human visual system, so that computer and machines obtain high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 40–46 Read article
-
Speed Invariant Gait Identification using Frequency Domain Feature
Abstract: Changes in walking speeds is one of the most challenging covariates in gait identification. Walking speed change is accountable to significantly alter walking patterns of an individual. This covariate is also responsible for the intra-class variations; and for that, the training dataset fails to cope with. This covariate may affect some parts of human gait and keep other parts untouched. To address this issue, parts definition and selection is carried …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 47–55 Read article