texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...

remote sensing can be used as a powerful tool by using data from different sources and combine them for vegetation and land cover classification. pasture type classification provides key information for analysis of agricultural productivity, carbon accounting and biodiversity. the first data set that used in this study landsat tm (thematic mapper) optical image and the second envisat asar radar...

 This work was supported by the NSFC-Guangdong Joint Foundation Key Project (Grant No. U1135003), the National Natural Science Foundation of China (Grant No.60773043, 61070227) and the Foundation for Key Program of Ministry of Education of China (No. 309017). Abstract – Exemplar-based image inpainting techniques face two main problems. One is the decision of filling-in order which has a strong...

Despite the increasing uptake of term sustainable business model (SBM), concept has mainly focused on strategies. However, integrating SBM into a longer-term and macroscopic framework would make it more sustainable. This article explored as national strategy that operates beyond corporate level. In this respect, study examined ways in which cultural political perceptions nation can influence co...

one of the important features of achaemenid art is the repetition of almost similar motifs and their consistency during this lengthy era. consequently, a large number of researchers consider the presence of the constant and pre-conceived patterns as necessity for stonecarving, sculptors and metalworkers. apparently, this coordination arising from similar repeated patterns is visible in the acha...

This paper presents a fast single-image superresolution approach that involves learning multiple adaptive interpolation kernels. Based on the assumptions that each high-resolution image patch can be sparsely represented by several simple image structures and that each structure can be assigned a suitable interpolation kernel, our approach consists of the following steps. First, we cluster the t...

with quick development of digital images and the availability of imaging tools, massive amounts of images are created. therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. automatic image annotation (aia) or refers to attaching words, keywords or comments to an image or to a selected part of it. in this paper,...

It is well known that the commonly used separable extensions of one-dimensional transforms, such as the wavelet transform, have limitations in capturing the geometry of image edges. But natural scene images always have geographic lines, such as textures, edges which can not be well reconstructed when compressed by using one-dimensional transform. So in lossy compression of images, it is importa...