The Okavango delta in northwestern Botswana is an extremely complex and dynamic wetland ecosystem. The spatial information on diverse wetland features of the delta is needed for hydrological modeling and water resources management. Due to large size and inaccessibility of the delta, satellite images provide the only viable means to reliably map and measure these features. For better identificat...

in order to distinguish between benign and malignant types of pigmented skin lesions, computerized procedures have been developed for images taken by different equipment that the most available one of them is conventional digital cameras. in this research, a new procedure to detect malignant melanoma from benign pigmented lesions using macroscopic images is presented. the images are taken by co...

desertification relates to the both the process and end state of drylands degradation. salinization and alkalinization are two indicators of soil degradation in arid and semi-arid regions. the main objectives of this research is monitoring of soil salinity using high spectral and spatial resolution of remote sensing to assess desertification in the marvast plain, yazd province. two images of te...

Agricultural land use mapping and change detection are important for environmental assessment and crop yield estimation. An effective mapping and change detection of crop land use requires large image coverage with sufficient resolutions in spatial, spectral and temporal dimensions. But few earth observation sensors can solely collect image data that meet all these requirements. The MODIS (Mode...

Textual annotations enhance visualizations and provide additional information such as object names or measures, e.g. volumes or distances. They are essential for surgery planning, in particular for documentation and collaborative discussions. For optimal use, it is crucial that the relation between visualized objects and related annotations is unambiguous and easily perceived. We describe a fra...

Recently, different approaches for uncalibrated stereo have been suggested which permit projective reconstruction from multiple views. These use weak calibration which is represented by the epipolar geometry, and so no knowledge of the intrinsic or extrinsic camera parameters is required. In this paper we consider projective reconstructions from pairs of views, and compare a number of the avail...

Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the depicted protein. Based on this work, we developed a system, the Subcellular Location Image Finder (slif), which mines images from scientific journals for analysis. For some of the images in journals, the system is ab...

since mammography images are in low-contrast, applying enhancement techniques as a pre-processing step are wisely recommended in classification of the abnormal lesions into benign or malignant. a new kind of structural enhancement is proposed by morphological operator which introduces an optimal gaussian kernel primitive, the kernel parameters are optimized the use of genetic algorithm­­. we al...

Introduction: To develop different radiomic models based on radiomic features and machine learning methods to predict early intensity modulated radiation therapy (IMRT) response.   Materials and Methods: Thirty prostate patients were included. All patients underwent pre ad post-IMRT T2 weighted and apparent diffusing coefficient (ADC) magnetic resonance imagi...