Results 41 to 50 of about 919 (135)

RailNet: Railway Track Anomaly Detection via Image Processing With Hybrid Deep Learning Techniques

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Our model leverages a DenseNet121 backbone combined with advanced neural network layers to achieve high accuracy in identifying and classifying track defects. The dataset, consisting of images of railway tracks with and without faults, was rigorously augmented to enhance model robustness.
Umair Saeed, Muhammad Waqas, Asghar Ali Shah, Asif Ali Laghari, Ahmad Almadhor, Natalia Kryvinska, Ruqiya Rajab, Rashid Ali Laghari, Sumaira Kausar   +8 more
wiley   +1 more source

DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement

CoRR
Many existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as noise, quantization error, non-linearity, and dynamic range overflow. In this paper, we propose a new expression called Digital-Imaging Retinex theory (DI-Retinex) through ...
Shangquan Sun, Wenqi Ren, Jingyang Peng, Fenglong Song, Xiaochun Cao   +4 more
openaire   +2 more sources

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

CoRR
This paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We conceptualize the diffusion model as a black-box image render and strategically decompose its energy function in alignment with the image formation model.
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers   +5 more
openaire   +2 more sources

Gauss-Seidel Retinex

Journal of Physics: Conference Series
Abstract Retinex has many algorithmic variants, differing in the method used to decouple illumination from reflectance, including path-based methods, center-surround operators, and lightness processing. The center-surround approach is putatively the most compatible with the human visual mechanism, as it mimics the operation in ...
Afsaneh Karami, Graham Finlayson
openaire   +1 more source

Retinex-based low-light image enhancement with multi-channel feature optimization. [PDF]

Sci Prog
Wang Z, Qiao Y, Cang Y.
europepmc   +1 more source

IllumiSIFT: A Cascade Framework for DoG Pyramid Learning in Darkness. [PDF]

Sensors (Basel)
Noor DF, Chowdhury MR, Sikder S.
europepmc   +1 more source

Designator Retinex, Milano Retinex and the locality issue

Electronic Imaging, 2016
openaire   +1 more source

A Fiducial-Marker-Based Localization Method for Automotive Chassis Bolt Assembly. [PDF]

Sensors (Basel)
Peng X, Xiao Y, Chen Z, Chen K, Huang H.
europepmc   +1 more source

A Discriminative Enhancement and Selective Fusion Method for Low-Light Cross-Spectral Object Detection. [PDF]

Sensors (Basel)
Yang P, Jiang J, Zhang Y.
europepmc   +1 more source

Robust text detection in foggy traffic scenes using an enhanced CTPN model with de-fogging pre-processing. [PDF]

Sci Rep
Han C, Xiong Z, Liu Y, Wang R.
europepmc   +1 more source