Due to the limitation of the local spatial information in an image, fuzzy c-means clustering algorithms with the local spatial information cannot obtain the satisfying segmentation performance on the image heavily contaminated by noise. In order to compensate this drawback of the local spatial information, an effective kind of non-local spatial information is extracted from the image in this pa...

2 Are built upon powerful patch-based (local) image models:  Non-Local Means (NLM): self-similarity within natural images  K-SVD: sparse representation modeling of image patches  BM3D: combines a sparsity prior and non local self-similarity  Kernel-regression: offers a local directional filter  EPLL: exploits a GMM model of the image patches  … Today we present a way to improve various su...

objective: this study aimed to provide a normative study documenting how 114 five-seven year-old non-‎patient iranian children respond to the rorschach test. we compared this especial sample to ‎international normative reference values for the comprehensive system (cs).‎ method: one hundred fourteen 5- 7- year-old non-patient iranian children were recruited from public ‎schools. using five chil...

The underlying topography is an important part of the three-dimensional structure forests, and used for a variety applications, such as hydrology water resource management, civil engineering projects, forest surveying. Due to imaging ability strong penetration, tomographic synthetic aperture radar (TomoSAR) with long wavelength has been shown be useful tool estimate topography. At present, most...