Filtering methods for texture discrimination
Pattern Recognition Letters
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Effects of Different Gabor Filter Parameters on Image Retrieval by Texture
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Creating a large-scale content-based airphoto image digital library
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
BIM: image matching using biological gene sequence alignment
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
| Hi-index | 0.00 |
The paper presents a content based image retrieval approach with adaptive and intelligent image classification through on-line model modification It supports geographical image retrieval over digitized historical aerial photographs in a digital library Since the historical aerial photographs are grayscaled and low-resolution images, image retrieval is achieved on the basis of texture feature extraction Feature extraction methods for geographical image retrieval are Gabor spectral filtering, Laws' energy filtering, and Wavelet transformation, which are all the most widely used in image classification and segmentation Adaptive image classification supports effective content based image retrieval through composite classifier models dealing with multi-modal feature distribution The image retrieval methods presented in the paper are evaluated over a test bed of 184 aerial photographs The experimental results also show the performance of different feature extraction methods for each image retrieval method.