Automatic interpretation of digital images is a difficult task. In this paper, we have proposed knowledge based approach for Landsat image segmentation and interpreted without any prior image dependent information. It includes an integration of image processing techniques, knowledge from domain experts and ancillary information such as previous maps of the study area. We discuss three important...

Digital image classification is generally performed to produce land cover maps from remote sensing data, particularly for large areas. The performance of image classifiers that utilize only the remote sensing data may deteriorate, especially in mountainous regions, due to the presence of shadows of high peaks. In this study, a multisource classification approach to map land cover in Himalayan r...

Introduction: The use of digital radiography systems has become more common all around the world. Ideal situation in radiography is to maximize the image quality while minimizing the patient dose. The purpose of this study was to compare image quality and radiation dose in different digital radiography systems. Materials and Methods: Images of Pehamed FLUORAD ...

introdouction: the mapping of ghost images of the maxilla and the nasal cavity, which are complex structures, is very important. the position of objects that create a ghost image can differ when using various devices. the purpose of this investigation was to study the mapping of ghost images of the maxilla and the nasal cavity using a cranex d digital panoramic machine. materials and methods: t...

background: breast cancer is one of the most important diseases in females. malaysian women have not excluded. according to the malaysian oncology society [1], about 4% of women (who are 40 years old and above) have involved by breast cancer. masses and microcalcifications are two important signs for breast cancer diagnosis on mammography. according to our estimation, radiologists could diagnos...

 Abstract— Satellite Remote sensing with repetitive and pan viewing and multispectral capabilities, is a powerful tool for mapping and monitoring the ecological changes. Analysis of the remote sensing data is faced with a number of challenges ranging from type of sensors, number of sensors, spectral responses of satellite sensors, resolutions in different domains and qualitative and quantitati...