Results 251 to 260 of about 100,090 (313)
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Unsupervised segmentation of natural images based on the adaptive integration of colour-texture descriptors [PDF]
, 2008 Ilea, Dana E.
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Statistical Geometric Features for Texture Classification
, 1995 Nixon, M.S., Thomas, D.W., Chen, Y.Q.
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Pattern Recognition Letters, 1987
Abstract We present a new approach to texture feature extraction from a cooccurrence matrix. Computationally, the method is much faster than traditional uses of cooccurrence matrices. Using Brodatz's textures, the proposed features are evaluated and compared with those suggested by Conners et al. (1984).
Dong-Chen He
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Abstract We present a new approach to texture feature extraction from a cooccurrence matrix. Computationally, the method is much faster than traditional uses of cooccurrence matrices. Using Brodatz's textures, the proposed features are evaluated and compared with those suggested by Conners et al. (1984).
Dong-Chen He
exaly +2 more sources
Decorrelation Methods of Texture Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980This paper presents the development and evaluation of a visual texture feature extraction method based on a stochastic field model of texture. Results of recent visual texture discrimination experiments are reviewed in order to establish necessary and sufficient conditions for texture features that are in agreement with human discrimination.
Olivier D. Faugeras, William K. Pratt
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Texture Browser: Feature‐based Texture Exploration
Computer Graphics Forum, 2021AbstractTexture is a key characteristic in the definition of the physical appearance of an object and a crucial element in the creation process of 3D artists. However, retrieving a texture that matches an intended look from an image collection is difficult.
Xuejiao Luo +2 more
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Textural features corresponding to textural properties
IEEE Transactions on Systems, Man, and Cybernetics, 1989Five properties of texture, namely, coarseness, contrast, business, complexity, and texture strength, are given conceptual definitions in terms of spatial changes in intensity. These conceptual definitions are then approximated in computational forms.
Moses Amadasun, Robert King
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Texture features based on texture spectrum
Pattern Recognition, 1991Abstract Texture is an important spatial feature useful for identifying objects or regions of interest in an image. This paper presents a new set of textural measures derived from the texture spectrum. The proposed features extract textural information of an image with a more complete respect of texture characteristics (in all the eight directions ...
Dong-Chen He, Li Wang 0002
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Feature-preserving procedural texture
The Visual Computer, 2017This paper presents how to synthesize a texture in a procedural way that preserves the features of the input exemplar. The exemplar is analyzed in both spatial and frequency domains to be decomposed into feature and non-feature parts. Then, the non-feature parts are reproduced as a procedural noise, whereas the features are independently synthesized ...
HyeongYeop Kang, JungHyun Han
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Textural Features for Image Classification
IEEE Transactions on Systems, Man, and Cybernetics, 1973Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes some easily computable textural features based on gray-tone spatial dependancies, and illustrates their application in category ...
Robert M. Haralick +2 more
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