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In this study, a crater detection system for a large-scale image database is proposed. The original images are grouped according to spatial frequency patterns and both optimized parameter sets and noise reduction techniques used to identify candidate craters. False candidates are excluded using a self-organizing map (SOM) approach. The results show that(More)
The framework of mining of moving objects from image data sequence is presented. Scenes are first clustered and labeled by using two-stage SOM that is modified to recognize images including similar moving objects as the same cluster, and that well recognizes scenes including prominent objects. After extraction of images which include prominent objects based(More)
Matrix metalloproteinase-9 (MMP-9) and tissue inhibitor of metalloproteinase-1 (TIMP-1) play important roles in the function of the blood-brain-barrier (BBB). We investigated the roles of MMP-9 and TIMP-1 in the pathogenesis of hypoxic-ischemic encephalopathy following perinatal asphyxia. Serum concentrations of MMP-9 and TIMP-1 were determined by ELISA in(More)
Machine learning techniques have shown considerable promise for visual inspection tasks such as locating human faces in cluttered scenes. In this paper, we examine the utility of such techniques for the scientifically-important problem of detecting and cataloging impact craters in planetary images gathered by spacecraft. Various supervised learning(More)
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for data mining from a set of time-series images including moving objects was presented. Timeseries images are transformed into time-series cluster addresses by using clustering by(More)
The surfaces of solid planets are covered with a tremendous number of craters of various shape and size that reeect the geological history and rheology of the planetary surfaces. In the present study we examined crater detection and categorization system for planetary images in view of data mining from a large-scale scientiic image database. Crater(More)
Wolf-Hirschhorn syndrome has characteristic craniofacial dysmorphism with severe fetal growth restriction. We present a case that revealed facial dysmorphism characteristic of Wolf-Hirschhorn syndrome with two- and three-dimensional ultrasonography. The facial dysmorphic features in the present case were dolichocephaly; high forehead; large rectangular nose(More)
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, we present a framework for data mining from a set of time-series images including moving objects using clustering by self-organizing mapping(SOM) and extraction of time-dependent association(More)
AIM To evaluate the effects of inhaled corticosteroid therapy and high-frequency oscillatory ventilation (oscillation) on preterm infants with chronic lung disease (CLD). METHODS Ten infants with CLD who received inhaled corticosteroid therapy were enrolled. Week 1 was defined as the first week of therapy. The concentrations of interleukin (IL)-8, tumour(More)
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, we present a framework for data mining from a set of time-series images including moving objects using clustering by self-organizing mapping(SOM) and extraction of time-dependent association(More)