Chung-Yuan Lin

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The parallel connected component labeling used in binary image analysis is reconsidered in this paper for the high throughput and intermediate memory requirements problem on high dimensional image sequence. It is based on a proposed dual-parallel connected component labeling method. The main idea is to break the sequentiality of the labeling procedure by(More)
We studied the effect of the inspired isoflurane concentration (C(I)iso) on the pharmacokinetics of isoflurane uptake in the brain by comparing the isoflurane concentration in internal jugular-bulb blood (Jiso) with that in arterial blood (Aiso), and analyzed this by gas chromatography. Sixteen patients (aged 43-76 years) undergoing colorectal surgery were(More)
We investigated the effect of the inspired isoflurane concentration (C(I)iso) on body uptake by comparing the isoflurane concentration in the pulmonary artery blood (PAiso) and that in the arterial blood (Aiso) in 16 patients undergoing coronary artery bypass grafting surgery during the 1st, hour of isoflurane anesthesia. The patients received standardized(More)
We investigated whether minute alveolar ventilation affects isoflurane concentration in arterial blood and uptake of isoflurane into the body. Thirty female patients scheduled to undergo elective gynecological surgery were randomly assigned to one of three groups: i.e. hyperventilation, normal ventilation and hypoventilation. Inspiratory (CIiso) and(More)
BACKGROUND The objectives of this study were to determine whether minimal low-flow isoflurane-based anesthesia could be a feasible technique for patients undergoing coronary artery bypass graft surgery. It is hypothesized that isoflurane-based anesthesia facilitates an agreeable recovery from surgery is mediated through preventing hyperglycemia and(More)
In recent years, intelligent video surveillance attempts to provide content analysis tools to understand and predict the actions via video sensor networks (VSN) for automated wide-area surveillance. In this emerging network, visual object data is transmitted through different devices to adapt to the needs of the specific content analysis task. Therefore,(More)
Automatic understanding of events happening at a site is the ultimate goal for many visual surveillance systems. Understanding of events requires that certain lower level computer vision tasks be performed. These include foreground detection, labeling foreground parts, and tracking targets. To achieve these tasks, it is necessary to build background(More)
This paper presents a new method for auto-focus digital camera system. Our approach differs from other common auto-focus approaches, since a focal window will be searched and tracked before applying auto-focus algorithm to move the lens toward the proper position. The advantages are increasing the focus reliability and flexibility than common auto-focus(More)
This paper deals with robust video segmentation using hierarchical model. This region based method is designed by human sense. Color and size in our model are two main factors, anything with obvious size and color will be noticed easily. Hierarchical model works by examining both spatial and temporal features using a parameter set. The parameter set(More)