Results 81 to 90 of about 112,016 (186)

A Weighted Histogram-Based Tone Mapping Algorithm for CT Images

open access: yesAlgorithms, 2018
Computed Tomography (CT) images have a high dynamic range, which makes visualization challenging. Histogram equalization methods either use spatially invariant weights or limited kernel size due to the complexity of pairwise contribution calculation.
David Völgyes   +4 more
doaj   +1 more source

A Review and Prospect of Appearance Defect Detection Methods for High Voltage Equipment Based on Vision Large Models

open access: yesHigh Voltage, EarlyView.
ABSTRACT High voltage equipment, as a core component of power systems, plays an indispensable role in ensuring the reliability of power supply through its safe and stable operation. Traditional visual defect detection for high voltage equipment, however, often relies on manual inspection and experience‐based judgement, which struggles to meet the ...
Zhenbing Zhao   +7 more
wiley   +1 more source

The image and its histogram before and after gray-histogram equalization.

open access: yes, 2021
The image and its histogram before and after gray-histogram equalization.
Min Xu (15203), YouDong Ding (11773099)
core   +1 more source

Face recognition based on improved BP neural network

open access: yesMATEC Web of Conferences, 2017
In order to improve the recognition rate of face recognition, face recognition algorithm based on histogram equalization, PCA and BP neural network is proposed. First, the face image is preprocessed by histogram equalization.
Yue Gaili, Lu Lei
doaj   +1 more source

Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity

open access: yesThe Journal of Dermatology, EarlyView.
ABSTRACT Accurate assessment of the severity of atopic dermatitis is crucial for guiding treatment. However, the Eczema Area and Severity Index (EASI), a widely used clinical assessment tool, relies on subjective visual scoring, which can lead to inter‐rater variability. This study aimed to evaluate the performance of convolutional neural network‐based
Kenichi Yamanaka   +6 more
wiley   +1 more source

A simple histogram modification scheme for contrast enhancement

open access: yes, 2012
[[abstract]]Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image processing applications. The algorithm can be easily implemented; however, it tends to transform the average brightness of an image toward the middle of ...
張春明;Chang, Chun-Ming
core  

Adaptive histogram equalization in constant time

open access: yesJournal of Real-Time Image Processing
AbstractAdaptive Histogram Equalization (AHE) and its contrast-limited variant CLAHE are well-known and effective methods for improving the local contrast in an image. However, the fastest available implementations scale linearly with the filter mask size, which results in high execution times.
Philipp Härtinger, Carsten Steger
openaire   +2 more sources

Histogram Equalization in SVM Multimodal Person Verification [PDF]

open access: yes, 2007
Comunicació presentada a la International Conference on Biometrics (ICB) celebrada a Seoul (Korea) els dies 27 a 29 d'agost de 2007.
Mireia Farrús   +3 more
openaire   +2 more sources

Real‐time by‐example texture synthesis and filtering using local statistics exchange

open access: yesComputer Graphics Forum, EarlyView.
Abstract Real‐time by‐example texture synthesis is used in interactive virtual worlds to generate the appearance of an unbounded surface from an exemplar texture with as few repetitions as possible. Currently, leading real‐time methods rely on a tiling and blending scheme which is known to synthesize well texture patterns with little spatial ...
Nicolas Lutz, Guillaume Gilet
wiley   +1 more source

A novel 3-D color histogram equalization method with uniform 1-D gray scale histogram

open access: yes, 2018
The majority of color histogram equalization methods do not yield uniform histogram in gray scale. After converting a color histogram equalized image into gray scale, the contrast of the converted image is worse than that of an 1-D gray scale histogram ...
이병욱, 양세정
core   +1 more source

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