Results 21 to 30 of about 4,069 (180)
Mine infrared image enhancement algorithm based on dual domain and ILoG-CLAHE
The complex working environment of mine leads to the degradation of the infrared image. The existing infrared image enhancement algorithm is easy to lose the scene details or causes the target edge blur while improving the signal-to-noise ratio and ...
FAN Weiqiang +4 more
doaj +1 more source
IA-CLAHE: Image-Adaptive Clip Limit Estimation for CLAHE
This paper proposes image-adaptive contrast limited adaptive histogram equalization (IA-CLAHE). Conventional CLAHE is widely used to boost the performance of various computer vision tasks and to improve visual quality for human perception in practical industrial applications. CLAHE applies contrast limited histogram equalization to each local region to
Rikuto Otsuka +4 more
openaire +2 more sources
Penurunan kualitas yang diakibatkan adanya noise atau kontras yang tidak normal pada citra mengakibatkan objek pada citra menjadi tidak jelas. Masalah itu dapat disebabkan perangkat yang digunakan menimbulkan noise atau tidak bisa menghasilkan kontras ...
Irpan Adiputra Pardosi +1 more
doaj +1 more source
Low-light facial images suffer significant quality degradation, leading to performance degradation in surveillance and face recognition systems, where conventional enhancement methods often produce over-enhancement or unnatural noise artifacts.
Muhammad Naufal +3 more
doaj +1 more source
An onboard video stabilization algorithm for roadheader based on CLAHE and Kalman filter
During the movement or operation of coal mining equipment such as a roadheader, the vibration of the vehicle body can easily cause blurring of the onboard camera video. This leads to a decrease in the precision and reliability of machine vision detection
LI Chengcheng +6 more
doaj +1 more source
Optimizing Driver Drowsiness Detection: Evaluating CLAHE and AHE Enhancement Techniques
Driver drowsiness is a critical factor in road safety, and early detection can be key to preventing accidents. This research focuses on improving the accuracy of drowsiness detection by enhancing the contrast of driver facial images using image ...
Muhammad Naufal +3 more
doaj +1 more source
Deteksi Pneumonia Menggunakan Citra Sinar-X Paru berbasis Residual Network
Fokus dari studi ini adalah membandingkan kinerja Mask R-CNN dengan ResNet-50 & 101 sebagai backbone pada deteksi pneumonia menggunakan citra Sinar-X paru.
Muhammad Adzkia +2 more
doaj +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Water Classification Using Convolutional Neural Network
The classification of water sources is a challenging task due to the low contrast texture features, the visual similarities between them, and the causes posed by image acquisition with different camera angles and placements. The various image enhancement
Saira Asghar +6 more
doaj +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source

