This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
... Feature Selection and Fusion for Texture Classification Shutao Li1,2 and Yaonan Wang1 1 College of Electrical and Information Engineering, Hunan University Changsha, Hunan ... Feature Selection and Fusion for Texture Classification.
... fusion of GLTP and wavelet texture features , and SBS feature selection to classify tobacco leaves on a plant for automatic harvesting in a complex agricultural environment . Proposed model has superior performance when compared to GLTP ...
The book describes various texture feature extraction approaches and texture analysis applications.
The book is a compilation of high-quality scientific papers presented at the 3rd International Conference on Computer & Communication Technologies (IC3T 2016).
... fusion instead of commonly used methods of feature fusion for unsupervised image segmentation. Before the fusion of each seg- mentation, a step of cluster label adjustment is performed to fix one label to the same kind of texture ...
... Selection of ICA Features for Texture Classification ....................... 262 Xiangyan Zeng, Yenwei Chen, Deborah van Alphen, and Zensho Nakao Feature Selection and Fusion for Texture Classification .................... 268 Shutao Li ...
... texture feature extraction, feature selection and classification of land covers using SAR image is presented in the ... Fusion and Feature Selection Applied to SAR Imagery. IEEE Trans. on Geoscience and Remote Sensing. 35 (1997) ...
... Texture Classification coefficient ( k ) and overall accuracy ( OA ) using that selected features . From Table 1 , we can see that the NOTS method outperforms SFS ... Feature Fusion with Neighborhood - Oscillating Tabu Search for 679.
This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications.