Results 21 to 30 of about 125,642 (262)
The extraction of road information from high-resolution remotely-sensed images has important application value in many fields. Rural roads have the characteristics of relatively narrow widths and diversified pavement materials; these characteristics can ...
Hai Tan, Zimo Shen, Jiguang Dai
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AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION [PDF]
Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features.
K. Meena, A. Suruliandi, R. Reena Rose
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The aim of this study was quantitative comparison between 68Ga-Gallgas positron emission tomography (PET) and 99mTc-Technegas single photon emission computed tomography (SPECT) for lung ventilation function assessment in patients with moderate-to-severe ...
Enrique Gustavo Cuna +6 more
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Prognostic 18F-FDG Radiomic Features in Advanced High-Grade Serous Ovarian Cancer
High-grade serous ovarian cancer (HGSOC) is an aggressive disease with different clinical outcomes and poor prognosis. This could be due to tumor heterogeneity. The 18F-FDG PET radiomic parameters permit addressing tumor heterogeneity. Nevertheless, this
Daniela Travaglio Morales +8 more
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Textural features in flower classification
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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Automatic Thyroid Ultrasound Image Classification Using Feature Fusion Network
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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Deep Residual Texture Network for Terrain Recognition
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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Multi-features fusion classification method for texture image
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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Rotationally invariant texture based features [PDF]
Content-based retrieval is ultimately dependent on the features used for the annotation of data and its efficiency is dependent on the invariance and robust properties of these features. For texture-based features an important form of invariance is rotational invariance.
Paul R. Hill +2 more
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Boundary-aware texture region segmentation from manga
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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