Results 71 to 80 of about 8,731 (212)

Adaptive histogram equalization in constant time

Journal 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   +1 more source

Intersecting Structures and Gendered Perceptions in Entrepreneurship: A Life‐Course Comparison of Institutional Inclusivity in Italy and the United Kingdom

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Using Global Entrepreneurship Monitor (GEM) 2024 data for Italy and the United Kingdom, this study examines how gender gaps in entrepreneurial perceptions, measured as perceived entrepreneurial skills and fear of failure, vary across age and education within contrasting institutional regimes.
Giusy Sica, Chiara Spiniello, Maria Palazzo, Alessandra Micozzi, Giovanna Truda   +4 more
wiley   +1 more source

Compensating Acoustic Mismatch Using Class-Based Histogram Equalization for Robust Speech Recognition

EURASIP Journal on Advances in Signal Processing, 2007
A new class-based histogram equalization method is proposed for robust speech recognition. The proposed method aims at not only compensating for an acoustic mismatch between training and test environments but also reducing the two fundamental limitations
Hoirin Kim, Sungtak Kim, Youngjoo Suh
doaj   +1 more source

Adaptive histogram equalization: a parallel implementation

[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium, 2002
Adaptive histogram equalization (AHE) is computationally expensive, and therefore time-consuming. A parallel method implemented with commercially available hardware is discussed. The implementation and testing conducted supports the hypothesis that multiple instruction/multiple data (MIMD) parallelism will improve the performance of the AHE algorithm ...
openaire   +2 more sources

Quantitative Detection of Entotic Cell‐In‐Cell Structures Using Deformable Segmentation and Deep Learning

Cytometry Part A, EarlyView.
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa, Mikołaj Biegański, Elijah Ray, Izabela Młynarczuk‐Bialy, Buket D. Barkana   +4 more
wiley   +1 more source

MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images

Materials Genome Engineering Advances, EarlyView.
MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang, Mohamed AitTamerd, Ziqing He, Wenzhu Bi, Manling Zhao, Shuran Li, Menghao Yang   +6 more
wiley   +1 more source

Face recognition based on improved BP neural network

MATEC 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

A Weighted Histogram-Based Tone Mapping Algorithm for CT Images

Algorithms, 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, Anne Catrine Trægde Martinsen, Arne Stray-Pedersen, Dag Waaler, Marius Pedersen   +4 more
doaj   +1 more source

Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam

River Research and Applications, EarlyView.
ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås, Jon Museth, Finn Økland, Karl Øystein Gjelland, Henrik Baktoft, Torbjørn Forseth   +5 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source