Results 71 to 80 of about 4,069 (180)

An Enhancement of Underwater Images using DCP and CLAHE Algorithm

International Journal of Engineering and Advanced Technology, 2019
The lack of resource requirement in this population world, we are in a position to require another resources. In this regard, ocean is one of our sustenance. It is the exact platform for various applications like, transport, food, energy etc., but still we are surveyed partly at all aspects.
Malathi V, Manikandan A
openaire   +1 more source

Enhancing tomato leaf disease detection with contrast-limited adaptive histogram equalization and image blending for improved machine learning accuracy

Ho Chi Minh City Open University Journal of Science - Engineering and Technology
This study examines the application of Contrast Limited Adaptive Histogram Equalization (CLAHE), an advanced version of Adaptive Histogram Equalization (AHE), and image blending as a preprocessing technique for tomato leaf images to improve the accuracy
Khanh Nhan Nguyen, Huu Thanh Duong
doaj   +1 more source

Адаптивні методи попереднього оброблення для підвищення точності сегментації стоматологічних рентгенівських знімків

Сучасний стан наукових досліджень та технологій в промисловості
Предметом дослідження в статті є ефективність адаптивних методів попереднього оброблення медичних зображень, зокрема білатерального фільтра та модифікованого CLAHE, у задачах сегментації стоматологічних рентгенівських знімків.
Oleh Komenchuk
doaj   +3 more sources

Novelty in Image Reconstruction using DWT and CLAHE [PDF]

International Journal of Image, Graphics and Signal Processing, 2017
Archie Mittal, Himanshu. Jindal
openaire   +1 more source

Recognizing Daily Activities of Children with Autism Spectrum Disorder Using Convolutional Neural Network Based on Image Enhancement

Cybernetics and Information Technologies
Independence for individuals with disabilities, Children with Autism Spectrum Disorder (ASD), need skills to perform daily activities. This study focuses on recognizing the daily activities of children with ASD using a Convolutional Neural Network (CNN ...
Werdiningsih Indah, Puspitasari Ira, Hendradi Rimuljo   +2 more
doaj   +1 more source

Enrichment of Retinal Fundus Images using EN-CLAHE and Auto-CLAHE Methods

International Journal of Intelligent Systems and Applications in Engineering
Retinal imaging techniques are commonly used to diagnose various eye diseases. These methods, such as fundus photography, play a crucial role in detecting the impact of lifestyle conditions like diabetes and hypertension for retina. They helps to identify retinal complications at an early stage, such as micro aneurysms, exudates, and haemorrhages ...
openaire   +1 more source

Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation

Computer Methods and Programs in Biomedicine Update
Generative Adversarial Networks (GANs) are capturing the attention of peer researchers in paired or unpaired image-to-image translation applications, particularly in the domain of retinal image processing.
Veena K.M., Veena Mayya, Rashmi Naveen Raj, Sulatha V. Bhandary, Uma Kulkarni   +4 more
doaj   +1 more source

BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification

Scientific Reports
In the case of neonates, especially low birth weight preterm and high-risk infants, portable X-rays are frequently used. However, the image quality of portable X-rays is significantly lower compared to standard adult or pediatric X-rays, leading to ...
Jiwon Han, Byungmin Choi, Jae Young Kim, Yeonjoon Lee   +3 more
doaj   +1 more source

Improved CLAHE Enhancement Technique for Underwater Images [PDF]

International Journal of Engineering Research and, 2020
openaire   +1 more source

RDE-DR: robust deep ensemble CNNs for automated diabetic retinopathy detection from fundus images. [PDF]

Sci Rep
Aiche I, Brik Y, Attallah B, Bouguerra O, Rabehi A, Habib M, Khafaga DS, El-Kenawy EM.   +7 more
europepmc   +1 more source