The QRS is the most prominent feature in ECG signal, that correspond to the ventricular contraction ,the time of its occurrence as well as its shape provide much information about the current state of heart. There are many technique to delineation of QRS complex. This paper discusses various method for proposed earlier for delineation of QRS Complex. This paper provide also depth study of QRS d...

An urban development boundary is an effective means to guide and restrain unplanned expansion of space. Scientifically-based delineation control the can help with sustainable use land resources better spatial planning. This study took data from 2000, 2010, 2020 for central area Zhengzhou predicted pattern in 2035. We used auto-logistic selection driving factors, future simulation, system dynami...

This study is an attempt to introduce scientific fundamentals and available methods for wellhead protection area (capture zone) delineation for drinking water wells in cities. The results of this study could obviate some demands of the national water and wastewater company in quality control of the drinking water resources by delineation and application of the wellhead protection areas. For thi...

OBJECTIVE PET using semiconductor detectors provides high-quality images of the human brain because of its high spatial resolution. To quantitatively evaluate the delineation of image details in clinical PET images, we used normalized mutual information (NMI) to quantify the similarity with images obtained through MRI. NMI is used to evaluate image quality by determining similarity with a refer...

Landslide mapping benefits from the ever increasing availability of Earth Observation (EO) data resulting from programmes like the Copernicus Sentinel missions and improved infrastructure for data access. However, there arises the need for improved automated landslide information extraction processes from EO data while the dominant method is still manual delineation. Object-based image analysis...

In this paper, we propose a new method for automated delineation of tumor boundaries in whole-body PET/CT by jointly using information from both PET and diagnostic CT images. Our method takes advantage of initial robust hot spot detection and segmentation performed in PET to provide a conservative tumor structure delineation. Using this estimate as initialization, a model for tumor appearance a...

Manual identification of structures and features in multidimensional images is at best time consuming and operator dependent. Feature identification need to be accurate, repeatable and quantitative. This thesis presents novel methods for automated feature detection in multidimensional images that are independent on imaging modality. Feature detection is described at two abstraction levels. At t...