Results 31 to 40 of about 3,060,107 (301)
Journal of Imaging, 2018 Recently, texture features have been widely used for historical document image analysis. However, few studies have focused exclusively on feature selection algorithms for historical document image analysis.
Maroua Mehri +5 more
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Rotationally invariant texture based features [PDF]
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 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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Frontiers in Plant Science, 2023 Plant potassium content (PKC) is a crucial indicator of crop potassium nutrient status and is vital in making informed fertilization decisions in the field.
YanPeng Ma +9 more
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Science AdvancesReplicating human somatosensory networks in robots is crucial for dexterous manipulation, ensuring the appropriate grasping force for objects of varying softness and textures.
Ye Qiu +14 more
semanticscholar +1 more source
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval [PDF]
Expert systems with applications, 2017 In this paper, a new texture descriptor based on the local neighborhood intensity difference is proposed for content based image retrieval (CBIR). For computation of texture features like Local Binary Pattern (LBP), the center pixel in a 3 × 3 window of ...
Prithaj Banerjee +4 more
semanticscholar +1 more source
Towards Analysis-Friendly Face Representation With Scalable Feature and Texture Compression [PDF]
IEEE transactions on multimedia, 2020 Compactly representing visual information plays a fundamental role in optimizing the ultimate utility of myriad visual data-centered applications. Numerous approaches have been proposed to efficiently compress the texture and visual features for human ...
Shurun Wang +6 more
semanticscholar +1 more source
A coal-rock image feature extraction and recognition method
Gong-kuang zidonghua, 2017 A coal-rock image feature extraction and recognition method based on binary cross-diagonal texture matrix was proposed. Binary cross-diagonal texture matrix of coal-rock image is extracted firstly. Then feature vector of coal-rock image is constructed by
SUN Jiping, YANG Kun
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Content-Dependent Image Search System for Aggregation of Color, Shape and Texture Features
Emitter: International Journal of Engineering Technology, 2019 The existing image search system often faces difficulty to find a appropriate retrieved image corresponding to an image query. The difficulty is commonly caused by that the users’ intention for searching image is different with dominant information of ...
Arvita Agus Kurniasari +2 more
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Block-based cloud classification with statistical features and distribution of local texture features [PDF]
Atmospheric Measurement Techniques, 2015 This work performs cloud classification on all-sky images. To deal with mixed cloud types in one image, we propose performing block division and block-based classification.
H.-Y. Cheng, C.-C. Yu
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Cotton Yield Estimation Based on Vegetation Indices and Texture Features Derived From RGB Image
Frontiers in Plant Science, 2022 Yield monitoring is an important parameter to evaluate cotton productivity during cotton harvest. Nondestructive and accurate yield monitoring is of great significance to cotton production.
Yiru Ma +8 more
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