Journal of Image Processing & Pattern Recognition Progress
Volume 9, Issue 2 (2022)
Published
Table of contents
-
An Automated Facial Mask Detection System for Minimizing COVID-19 using Multi-Task Cascaded CNN Model
Abstract: An outbreak triggered by a new coronavirus has continued to spread over the globe till today. Nearly every area of development has felt the effects of COVID-19. The state of healthcare is now quite problematic. One of the many preventative steps adopted to limit the spread of this illness is the use of a mask. To limit the spread of COVID-19, we propose a system that identifies persons who are …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 1–13 Read article
-
Smart Agriculture System Using IOT and Image Processing
Abstract: This study presents a new method for identifying and classifying leaf diseases and soil moisture levels. The particular type of leaf disease that affects a plant’s leaf is difficult to distinguish with human eyes. As a result, in order to accurately diagnose leaf diseases, the application of the proposed study attempts to use plant leaf image processing to diagnose illness. India is the global leader in agriculture, and a wide …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 14–23 Read article
-
COVID-19 Prediction using X-Ray Images and Deep Learning Model
Abstract: In the year 2019, the novel corona virus was emerged in China. Since, then every individual has put their own self to fight against this pandemic situation. Till April 14, 2022, the total COVID-19 confirmed cases are 500,186,525 and deaths are 6,190,349 worldwide. RT-PCR and Rapid antigen test are the standards for COVID-19 detection by WHO. These both tests are time consuming and costly and also there are higher possibilities …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 24–32 Read article
-
Image Super-resolution Using Super-resolution Convolutional Neural Network
Abstract: Several studies have been conducted to improve low-resolution photos to a higher resolution version utilizing classic super-resolution methods such as pixel-wise interpolation. While the resolution of images has been rapidly increasing in recent years with the development of high-performance cameras, advanced image compression, and display panels, the demand to generate a high-resolution image from pre-existing low-resolution images is also increasing for rendering on high-resolution displays. Some of these methods involve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 33–39 Read article
-
A Comparative Analysis on Image Enhancement and Filtering Techniques for Efficient Melanoma Skin Cancer Detection
Abstract: Skin cancers are becoming more prevalent worldwide due to the shortage of awareness on the symptoms and skin safety measures. The use of computer-aided diagnosis systems for melanoma detection can aid the doctors and technicians. Pre-processing an image plays a crucial role in separating the lesion from the skin and identifying the region of interest (ROI). As a result, in this proposed study of work, a thorough analysis is done …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 40–47 Read article