Results 21 to 30 of about 49,054 (309)
Classification of ordered texture images using regression modelling and granulometric features [PDF]
, 2011 Structural information available from the granulometry of an image has been used widely in image texture analysis and classification. In this paper we present a method for classifying texture images which follow an intrinsic ordering of textures, using ...
Stephen Marshall +5 more
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Algorithms, 2018 This paper aims to improve the source tracking efficiency of distributed vibration signals generated by phase-sensitive optical time-domain reflectometry (Φ-OTDR).
Yanzhu Hu, Song Wang, Xinbo Ai
doaj +1 more source
Feature Extraction of Images Texture Based on Co-occurrence Matrix
Zanco Journal of Pure and Applied Sciences, 2019 There are many techniques to extracted object properties in an image. In this research a co-occurrence matrix has been to adopted for feature extraction of English letters.
Hadia S. Abd allah +2 more
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On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
, 2008 There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but ...
Hurley, David +7 more
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AN INGENIOUS TEXTURE AND SHAPE FEATURE EXTRACTION IN REMOTE SENSING IMAGES BY MEANS OF MULTI KERNEL PRINCIPAL COMPONENT ANALYSIS WITH PYRAMIDAL WAVELET TRANSFORM AND CANNY EDGE DETECTION METHOD [PDF]
ICTACT Journal on Image and Video Processing, 2018 In the rapid growth of the digital world, the dealing of remote sensing image is increased day to day in context with the extraction of information. The feature extractions had been an exigent part among the research to classify the remote sensing images
N Balakumar, K Ragul
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Applied Sciences, 2023 Depth extraction generative adversarial network (DE-GAN) is designed for artistic work style transfer. Traditional style transfer models focus on extracting texture features and color features from style images through an autoencoding network by mixing ...
Xinying Han, Yang Wu, Rui Wan
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Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks
Remote Sensing, 2018 With success of Deep Belief Networks (DBNs) in computer vision, DBN has attracted great attention in hyperspectral classification. Many deep learning based algorithms have been focused on deep feature extraction for classification improvement.
Jiaojiao Li +4 more
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Texture Feature Extraction in Grape Image Classification Using K-Nearest Neighbor
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Indonesian Grapes are a vine. This fruit is often found in markets, shops, roadside. Along with the development of computer technology today, computers can solve problems by classifying objects and objects.
Pulung Nurtantio Andono +1 more
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Texture Feature Extraction Using Intuitionistic Fuzzy Local Binary Pattern
Journal of Intelligent Systems, 2016 In this paper, intuitionistic fuzzy local binary for texture feature extraction (IFLBP) has been proposed to encode local texture from the input image.
Ansari Mohd Dilshad +2 more
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An autoassociator for automatic texture feature extraction [PDF]
Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001, 2002 This paper presents an autoassociator neural network for texture feature extraction. Texture features are extracted through the hidden layer of an autoassociator. The Resilient Propagation (RP) algorithm was employed to train the autoassociator with the texture input and output patterns. The performance of the feature extractor was evaluated on Brodatz
S. Kulkarni, B. Verma
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