Results 231 to 240 of about 1,823,626 (291)
Defect‐Engineered ZnO Nanowire Arrays for Flexible Room‐Temperature Hydrogen Sensors
Advanced Materials Technologies, EarlyView.Fabrication process of patterned ZnO nucleation sites on a flexible polyimide (PI) substrate. Top/tilted‐view SEM images of ordered ZnO nanoflower arrays confined within patterned circular regions. AFM topography map with height data revealing a disk‐array structure, where the patterned regions (marked by a red dot circle) are elevated by ∼2 µm ...
Jun‐Ting Wang +7 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
openaire +2 more sources
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
exaly +2 more sources
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
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
openaire +2 more sources
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
openaire +2 more sources
Feature Analysis and Texture Synthesis
2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2007Most texture synthesis algorithms explicitly or implicitly adopt Markov random field or similar distribution as their basic model to guide the synthesis process. However, MRF-like models can 't handle textures well with large scale structure or unstable structure due to their inherent local and stable assumptions. To make improvement in this regard, we
Yuanting Gu, Enhua Wu
openaire +2 more sources
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
openaire +2 more sources
Textural Features for Steganalysis
2013It is observed that the co-occurrence matrix, one kind of textural features proposed by Haralick et al., has played a very critical role in steganalysis. On the other hand, the data hidden in the image texture area has been known difficult to detect for years, and the modern steganographic schemes tend to embed data into complicated texture area where ...
Yun Q. Shi 0001 +2 more
openaire +1 more source
Feature extraction for texture classification
Pattern Recognition, 1980Abstract We address the problem of texture classification. Random walks are simulated for plane domains A bounded by absorbing boundaries Γ, and the absorption distributions are estimated. Measurements derived from the above distributions are the features used for texture classification.
Harry Wechsler, Todd K. Citron
openaire +1 more source
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
openaire +2 more sources