Results 31 to 40 of about 578,151 (295)
Deep Residual Texture Network for Terrain Recognition
IEEE Access, 2019 In terrain recognition, the terrain image not only has texture features but also contains spatial features. However, the traditional feature descriptors mainly focus on the texture features of terrain image, ignoring the spatial features of the image ...
Peng Song, Xin Ma, Xue Li, Yibin Li
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Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network
IEEE Access, 2022 Nowadays, diagnosis of thyroid nodules is mainly based on clinical methods, which requires a lot of manpower and medical resources. Therefore, this work proposes an automated thyroid ultrasound nodule diagnosis method that combines convolutional neural ...
Xiaohui Zhao +7 more
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Plant image retrieval using color, shape and texture features [PDF]
, 2011 We present a content-based image retrieval system for plant image retrieval, intended especially for the house plant identification problem. A plant image consists of a collection of overlapping leaves and possibly flowers, which makes the problem ...
Kebapcı, Hanife +5 more
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Boundary-aware texture region segmentation from manga
Computational Visual Media, 2017 Due to the lack of color in manga (Japanese comics), black-and-white textures are often used to enrich visual experience. With the rising need to digitize manga, segmenting texture regions from manga has become an indispensable basis for almost all manga
Xueting Liu, Chengze Li, Tien-Tsin Wong
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Drones, 2022 UAV imaging provides an efficient and non-destructive tool for characterizing farm information, but the quality of the UAV model is often affected by the image’s spatial resolution.
Yan Guo +7 more
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Textural features in flower classification
Mathematical and Computer Modelling, 2011 In this work, we investigate the effect of texture features for the classification of flower images. A flower image is segmented by eliminating the background using a threshold-based method. The texture features, namely the color texture moments, gray-level co-occurrence matrix, and Gabor responses, are extracted, and combinations of these three are ...
Guru, D. S. +2 more
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Multi-features fusion classification method for texture image
The Journal of Engineering, 2019 Aiming at the problem of poor classification and recognition rate for distorted texture image based on single texture feature, a classification method of texture image based on multi-features fusion is proposed.
Jing Chen, Yanxin Zhang, Yuanyuan Jiang
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Classification of interstitial lung disease patterns with topological texture features
, 2010 Topological texture features were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT ...
Huber, Markus B. +4 more
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Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets [PDF]
, 2011 When performing image analysis, one of the most critical steps is the selection of appropriate techniques. A huge amount of features can be extracted from several techniques and the selection is commonly performed based on expert knowledge. In this paper
De Keyser, Robain +5 more
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Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. [PDF]
, 2016 Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic "feature" sets to characterize tumors, in ...
Balagurunathan, Yoganand +19 more
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