Journal of Image Processing & Pattern Recognition Progress
Volume 9, Issue 3 (2022)
Published
Table of contents
-
A Systematic Review: Impact of Preprocessing and Segmentation Methods in Classification of Celiac Disease
Abstract: In this era of technology, endoscopy emerges as the clinically acceptable imaging modality in the detection and diagnosis of celiac disease. As cases of celiac disease are increasing day by day, so it is necessary to make detection automated. The first step of preprocessing and then image segmentation is considered as the most essential step in research before classifying images, in the last two decades. To process the very large …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 1–6 Read article
-
Review of Deep Learning in Medical Imaging
Abstract: In the past few years, computer-aided analysis has fallen quickly behind. Organ categorization and segmentation is a key stage in computer-aided diagnosis. In recent years, there has been a lot of interest in the division of abdominal organs such as the liver, stomach, kidney, pancreas, and bladder from various picture modalities. Radiologists or medical specialists analyze abdominal pictures the majority of the time. Due to subjectivity, intricacy of the picture, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 16–24 Read article
-
An Interface for Communication for the Deaf Using Hand Gesture Recognition through Computer Vision and Natural Language Processing
Abstract: Hand gesture recognition is essential for conquering various challenges and improving human existence. A machine’s capacity to interpret human behaviors and their significance is being used in a large range of applications. Sign language recognition is one area of particular attention. This study will provide a deep analysis of use cases and technologies utilized now for current gesture recognition of hand, recognition of sign language, research done on it and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 25–40 Read article
-
Automated Brinjal Leaf Disease Detection Using Machine Learning: A Sri Lankan Study
Abstract: The spread of plant diseases has a significant negative impact on agricultural output quality and yield, resulting in significant economic losses. Plant disease automation in agricultural science is our country's main concern due to the economic crisis and the emphasis on organic farming practices. Furthermore, the accuracy and efficiency of recognizing sick leaves have increased due to the expanding usage of smart technology. This study uses machine learning and image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 41–56 Read article
-
Medical Image Processing Using Data Science: A Review
Abstract: The purpose of this work is to introduce data science in medical imaging. Both theoretical advancements and real-world applications are covered in this research work. The healthcare industry is distinct from all other industries and is a special sector. It is a top-priority industry that consumes a sizable percentage of the federal budget. In general, only doctors can analyses images, but thanks to technology, we are now able to use …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 7–15 Read article