Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
An analytical review on rough set based image clustering
Clustering is one of the most vital image segmentation techniques. However, proper image
clustering has always been a challenging task due to blurred and vague areas near to …
clustering has always been a challenging task due to blurred and vague areas near to …
A survey on the utilization of Superpixel image for clustering based image segmentation
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …
image segmentation techniques to segment the region of interest accurately in noisy …
Analyzing the secondary wastewater-treatment process using Faster R-CNN and YOLOv5 object detection algorithms
The activated sludge (AS) process is the most common type of secondary wastewater
treatment, applied worldwide. Due to the complexity of microbial communities, imbalances …
treatment, applied worldwide. Due to the complexity of microbial communities, imbalances …
A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet‐5 Network
A Zaibi, A Ladgham, A Sakly - Journal of Sensors, 2021 - Wiley Online Library
For several years, much research has focused on the importance of traffic sign recognition
systems, which have played a very important role in road safety. Researchers have …
systems, which have played a very important role in road safety. Researchers have …
Connected-segNets: A deep learning model for breast tumor segmentation from X-ray images
M Alkhaleefah, TH Tan, CH Chang, TC Wang, SC Ma… - Cancers, 2022 - mdpi.com
Simple Summary The segmentation of breast tumors is an important step in identifying and
classifying benign and malignant tumors in X-ray images. Mammography screening has …
classifying benign and malignant tumors in X-ray images. Mammography screening has …
Enhancement of satellite images based on CLAHE and augmented elk herd optimizer
Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …
enhance the contrast and brightness, maintain the quality of visual information, and preserve …
Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE
J Liu, X Zhou, Z Wan, X Yang, W He, R He, Y Lin - Sensors, 2023 - mdpi.com
Infrared sensors capture thermal radiation emitted by objects. They can operate in all
weather conditions and are thus employed in fields such as military surveillance …
weather conditions and are thus employed in fields such as military surveillance …
A fast text-to-image encryption-decryption algorithm for secure network communication
Data security is the science of protecting data in information technology, including
authentication, data encryption, data decryption, data recovery, and user protection. To …
authentication, data encryption, data decryption, data recovery, and user protection. To …