A structural method based on texture for ancient document image analysis

Based on methods designed for gray scale images, we find the combination of micro and macro structures efficient for multis- pectral texture analysis.. The experimentations

This paper is a study of image retrieval based on color and texture features, the main algorithms include color histogram,color moment,gray level co-occurrence

Recent study [30–35] addressing texture-based image segmentation and classification using very high resolution (VHR) remote sensing images has proved the capacity of the local

variant texture classification with local binary patterns,” IEEE Transactions on

Figures 4.14, {4.15, 4.16}, 4.17, {4.18 and 4.19} illustrate few examples the resulting images of the proposed pixel-labeling scheme for comparing the nine investigated

Palm and Lehmann (Palm & Lehmann, 2002) show that the Gabor transform is competitive at describing image textures and these texture feature extraction from the color

Then, for each analyzed book page its texture features are extracted which are then used in a clustering ap- proach by taking into consideration the estimation of the number of

In this section, we briefly describe our hand detection method based on a combination of skin color modelling and shape model [7].. II.1 Skin