Proceedings ArticleDOI
Rapid Texture Identification
Kenneth I. Laws
- Vol. 0238, pp 376-381
TLDR
In this article, the texture energy approach requires only a few convolutions with small (typically 5x5) integer coefficient masks, followed by a moving-window absolute average operation.Abstract:
A method is presented for classifying each pixel of a textured image, and thus for segmenting the scene. The "texture energy" approach requires only a few convolutions with small (typically 5x5) integer coefficient masks, followed by a moving-window absolute average operation. Normalization by the local mean and standard deviation eliminates the need for histogram equalization. Rotation-invariance can also be achieved by using averages of the texture energy features. The convolution masks are separable, and can be implemented with 1-dimensional (vertical and horizontal) or multipass 3x3 convolutions. Special techniques permit rapid processing on general-purpose digital computers.read more
Citations
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Journal ArticleDOI
Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging
Marco Caballo,Domenico R. Pangallo,Domenico R. Pangallo,Wendelien B.G. Sanderink,Andrew M. Hernandez,Su Hyun Lyu,Filippo Molinari,John M. Boone,Ritse M. Mann,Ioannis Sechopoulos +9 more
TL;DR: The proposed multi‐marker radiomic approach achieved high diagnostic accuracy in bCT mass classification, using a radiomic signature based on different feature types, and shows potential to improve the breast cancer diagnosis pipeline.
Journal ArticleDOI
Unsupervised texture segmentation by determining the interior of texture regions based on wavelet transform
Kuen-Long Lee,Ling-Hwei Chen +1 more
TL;DR: An unsupervised texture segmentation method based on determining the interior of texture regions and an interior pixels finding algorithm is provided to find all interior pixels of textural regions.
Journal ArticleDOI
Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval
TL;DR: Two alternative ways to construct generic distance measures for image and object retrieval, which do not suffer from any of the shortcomings of Euclidean and Mahalanobis distances are considered.
Proceedings ArticleDOI
Information theory optimization based feature selection in breast mammography lesion classification
Johanna Uthoff,Jessica C. Sieren +1 more
TL;DR: Quantitative imaging features of intensity, texture, and shape were extracted from breast lesions and surrounding tissue in 287 mammograms using k-medoids clustering and k-fold cross validation to remove highly intra-correlated features.
Proceedings ArticleDOI
Spatio-Temporal Interactive Laws Feature Correlation Method to Video Quality Assessment
TL;DR: The extensive experiments in the LIVE Video Quality Database suggest the proposed video quality assessment model has superior correlation performance with human visual perception than other state-of-the-art methods.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
ReportDOI
Textured Image Segmentation
TL;DR: In this article, texture energy is measured by filtering with small masks, typically 5x5, then with a moving-window average of the absolute image values, leading to a simple class of texture energy transforms, which perform better than any of the preceding methods.