Search Result "texture recognition"
High Order Texture-Based Analysis in Biomedical Images
Journal: Current Medical Imaging
Volume: 9 Issue: 4 Year: 2013 Page: 309-317
Author(s): Carlos Fernandez-Lozano,Marcos Gestal,Nieves Pedreira,Julian Dorado,Alejandro Pazos
The Use of Texture Features to Extract and Analyze Useful Information from Retinal Images
Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 23 Issue: 4 Year: 2020 Page: 313-318
Author(s): Xiaobo Zhang,Weiyang Chen,Gang Li,Weiwei Li
Progress and Survey of Mobile Image Feature Recognition
Journal: Recent Patents on Computer Science
Volume: 10 Issue: 1 Year: 2017 Page: 6-15
Author(s): Yongfeng Cui,Yuankun Ma
Applications to Attentive Vision -Chaotic Analysis of Texture for Segmentation and Classification
Ebook: Application of Chaos and Fractals to Computer Vision
Volume: 1 Year: 2014
Author(s): Michael Edward Farmer
Doi: 10.2174/9781608059003114010011
Texture-Based Classification of Periventricular Leukomalacia in Preterm Ultrasound Images
Journal: Current Medical Imaging Reviews
Volume: 4 Issue: 2 Year: 2008 Page: 113-124
Author(s): Ewout Vansteenkiste, Bruno Huysmans, Paul Govaert, Maarten Lequin, Wilfried Philips
3D Face Recognition
Ebook: Advances in Face Image Analysis: Theory and Applications
Volume: 1 Year: 2016
Author(s): Alireza Behrad
Doi: 10.2174/9781681081106116010009
Fingerprint Recognition System Study
Ebook: A Practitioner's Approach to Problem-Solving using AI
Volume: 1 Year: 2024
Author(s): Satya Prakash Yadav
Doi: 10.2174/97898153053641240100005
Face Recognition Using LBPH and CNN
Journal: Recent Advances in Computer Science and Communications
Volume: 17 Issue: 5 Year: 2024 Page: 48-58
Author(s):
More Applications to Post-Attentive Vision - Chaos Theory and Object Recognition
Ebook: Application of Chaos and Fractals to Computer Vision
Volume: 1 Year: 2014
Author(s): Michael Edward Farmer
Doi: 10.2174/9781608059003114010013
Emotion Recognition From Facial Expression In A Noisy Environment
Ebook: Multimodal Affective Computing: Affective Information Representation, Modelling, and Analysis
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124453123010010