• Journal of the Korean Society for Precision Engineering
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• v.25 no.7
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• pp.103-110
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• 2008

This paper presents a new approach of recognizing a 3D object using a single camera, based on the extended convex hull of its silhouette. It aims at minimizing the DB size and simplifying the processes for matching and feature extraction. For this purpose, two concepts are introduced: extended convex hull and measurable region. Extended convex hull consists of convex curved edges as well as convex polygons. Measurable region is the cluster of the viewing vectors of a camera represented as the points on the orientation sphere from which a specific set of surfaces can be measured. A measurable region is represented by the extended convex hull of the silhouette which can be obtained by viewing the object from the center of the measurable region. Each silhouette is represented by a relation graph where a node describes an edge using its type, length, reality, and components. Experimental results are included to show that the proposed algorithm works efficiently even when the objects are overlapped and partially occluded. The time complexity for searching the object model in the database is O(N) where N is the number of silhouette models.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.2
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• pp.30-37
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• 2003

To effectively control a vast amount of postal packages, we need the automatic system for extracting the address region from CCD scanner images. In this paper, we propose a address region extraction algorithm in the standard postal label. We used geometric characteristics of the underlying address regions and defined several criteria for fast detection of address regions. As a result, we accomplished a successful detection and classification of the postal package labels in real time.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.273-278
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• 2004

Feature identification is one of the largest issue in high spatial resolution satellite imagery. A popular method associated with this feature identification is image segmentation to produce image segments that are more likely to features interested. Here, it is, proposed that combination of edge extraction and region growing methods for image segments were used to improve the result of image segmentation. At the intial step, an image was segmented by edge detection method. The segments were assigned IDs, and polygon topology of segments were built. Based on the topology, the segments were tested their similarities with adjacent segments using multivariate analysis. The segments that have similar spectral characteristics were merged into a region. The test application shows that the segments composed of individual large, spectrally homogeneous structures, such as buildings and roads, were merged into more similar shape of structures.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.846-854
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• 2000

In this paper, we propose effecient methods to extract the femoral head region in MR images. The femoral head area in MRI is approximated using Hough transform and the anatomical features of the femoral heads. Then, modified region growing method is applied to extract the femoral head region. We measured the parameters for the diagnosis of the avascular necrosis of the femoral heads from the segmented femoral head region. The proposed methods are proved very effective to extract the femoral head of healthy volunteer and of the patient having heavy avascular necrosis. The measured parameters can be used very efficiently for the quantitative analysis and the diagnosis of the avascular necrosis of the femoral heads.

• Korean Journal of Bronchoesophagology
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• v.10 no.2
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• pp.49-51
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• 2004

The lodgement of foreign material in the larynx is potentially life thereatening as complete obstruction of this region does not leave the individual with a viable airway. In the literature review, laryngeal foreign bodies accounted for about $3\%$ of the whole foreign bodies in the air passage. This report describes a rare case of laryngeal obstruction by subglottic foreign body(tooth) occurred during tooth extraction, in which repeated Heimlich maneuver failed to expel the foreign body and aggravated airway obstruction.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1291-1294
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• 2003

This paper presents an approach to extract license plates from parking regulation images which is captured in various photographing direction and complex background. first, we search each row at regular intervals starting from the bottom of a license-plate image, and we set up a rough region for a certain zone in which the sign of intensity vector changes frequently enough and color of license plate is detected enough, assuming it as a candidate location of a license plate. And then, we extract an elaborate area of a license plate by horizontally and vertically projecting vertical edges. Here, tar types of the private and the public, are easily classified according to the color of extracted plates. To evaluate proposed method, we used 200 actual regulation images. As a result, the proposed method showed extraction rate of 96%, which is 9% higher than the previous method using only intensity vector.

• ETRI Journal
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• v.33 no.1
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• pp.78-88
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• 2011

In this paper, we present the Touch Text exTractor (Touch TT), an interactive text segmentation tool for the extraction of scene text from camera-based images. Touch TT provides a natural interface for a user to simply indicate the location of text regions with a simple touchline. Touch TT then automatically estimates the text color and roughly locates the text regions. By inferring text characteristics from the estimated text color and text region, Touch TT can extract text components. Touch TT can also handle partially drawn lines which cover only a small section of text area. The proposed system achieves reasonable accuracy for text extraction from moderately difficult examples from the ICDAR 2003 database and our own database.

• Journal of the Korean Society of Food Science and Nutrition
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• v.21 no.3
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• pp.319-326
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• 1992

The Louisiana crawfish industry comprises the largest concentration of crustacean aquaculture in the United States. Processing plants throughout the culture region annually generate as much as 80 million pounds of peeling waste during recovery of the 15% (by weight) edible tail meat. A commercial oil extraction process for recovery of carotenoid astaxanthin from crawfish waste has been developed. Crawfish pigment in its various forms finds applications as a source of red intensifying agents for use in aquaculture and poultry industries. Crawfish shell, separated in the initial pigment extraction step, is an excellent source of chitin. Applicable physicochemical procedures for isolation of chitin from crawfish shell and its conversion to chitosan have been developed. Crawfish chitosan has been demonstrated to be both an effective coagulant and ligand-exchange column material , respectively, for recovery of valuable organic compounds from seafood processing wastewater.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1319-1324
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• 2002

In this paper, we present a new technique for extraction of moving objects in moving image sequence. The detection method of change regions is based on spatial gradient difference and temporal difference. Moving objects are extracted by motion information and prediction error of each region. In the simulation results, the proposed technique shows good performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.5
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• pp.757-772
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• 1993

This paper describes the knowledge extraction for image understanding in knowledge based system. The current set of low level processes operate on the numerical pixel arrays, to segment the image into region and to convert the image into directional image, and to calculate feature for these regions. The current set of intermedate level processes operate on the results of earlier knowledge source to build more complex representations of the data. We have grouped into thee categories : feature based classification, geometric token relation, perceptual organization and grouping.