• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.4 s.316
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• pp.86-92
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• 2007

A discrete dynamic model for tracking feature points in 2D images is developed. Conventional snake approaches deform a contour to lock onto features of interest within an image by finding a minimum of its energy functional, composed of internal and external forces. The neighborhood around center snaxel is a space matrix, typically rectangular. The structure of the model proposed in this paper is a set of connected vertices. Energy model is designed for its local minima to comprise the set of alternative solutions available to active process. Block on tracking is one dimension, line type. Initial starting points are defined to the satisfaction of indent states, which is then automatically modified by an energy minimizing process. The track is influenced by curvature constraints, ascent/descent or upper/lower points. The advantages and effectiveness of this layer approach may also be applied to feature points tracking of digital image whose pixels have one directional properties with high autocorrelation between adjacent data lines, vertically or horizontally. The test image is the ultrasonic carotid artery image of human body, and we have verified its effect on intima/adventitia starting points tracking.

• Journal of the Korean Society of Costume
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• v.61 no.1
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• pp.69-83
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• 2011

This study applied cartoon-like simple and implicit symbol of Keith Haring works to tubular jacquard knit, designed woman casual knit wear with fun, explicit and activities using fluorescent yarns with explicit features. This study aimed to propose the directions for new market pioneering that meets the emotional requirements of modern people by raising the level of utilization and expression area of knit fashion, and to present the constructive directions for high value-added knit wear by designing highly effective knit wear. Methods of this study examined the lifetime and artistic background of Keith Haring and collected his works through searching of internet, scholastic publications or thesis. Formative types and colors of works collected were analyzed and classified according to characteristic standards of Haring and characteristic formativeness and color of works were extracted. The result of this study is as shown below: First, the feature of his works can be summarized into motif that has symbolic and implicit cartoon-like lines including narratives as well as enormous number of works. Such feature is very suitable for variation and recombination in realization of design and has unlimited potentials for development. Second, image colors can be extracted such as black and white, original color and fluorescent paints, which reflects the intention of artist who put focus on communication with the public. Such color feature is very suitable for design motif that has explicitness of reflecting the intention of artist through use of special fluorescent yarn. Third, I made it as reversible wear that has effects of increasing or decreasing the explicitness according to color area ratio using the feature of textures allowing use of both sides as well as form stability of tubular jacquard. Fourth, by adjusting the thickness of fabric with controlling of ply in fabric using poly yarn and wool union yarn, I could obtain good results of study in terms of technique that can express various materials with embossed dynamic effects of unevenness on flat surface.

• Journal of Information Processing Systems
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• v.9 no.1
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• pp.117-140
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• 2013

Hindi is the most widely spoken language in India, with more than 300 million speakers. As there is no separation between the characters of texts written in Hindi as there is in English, the Optical Character Recognition (OCR) systems developed for the Hindi language carry a very poor recognition rate. In this paper we propose an OCR for printed Hindi text in Devanagari script, using Artificial Neural Network (ANN), which improves its efficiency. One of the major reasons for the poor recognition rate is error in character segmentation. The presence of touching characters in the scanned documents further complicates the segmentation process, creating a major problem when designing an effective character segmentation technique. Preprocessing, character segmentation, feature extraction, and finally, classification and recognition are the major steps which are followed by a general OCR. The preprocessing tasks considered in the paper are conversion of gray scaled images to binary images, image rectification, and segmentation of the document's textual contents into paragraphs, lines, words, and then at the level of basic symbols. The basic symbols, obtained as the fundamental unit from the segmentation process, are recognized by the neural classifier. In this work, three feature extraction techniques-: histogram of projection based on mean distance, histogram of projection based on pixel value, and vertical zero crossing, have been used to improve the rate of recognition. These feature extraction techniques are powerful enough to extract features of even distorted characters/symbols. For development of the neural classifier, a back-propagation neural network with two hidden layers is used. The classifier is trained and tested for printed Hindi texts. A performance of approximately 90% correct recognition rate is achieved.

• Journal of Korea Multimedia Society
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• v.13 no.8
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• pp.1115-1127
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• 2010

In order to increase the productivity in manufacturing TFT-LCD(thin film transistor-liquid crystal display), it is essential to classify defects that occur during the production and make an appropriate decision on whether the product with defects is scrapped or not. The decision mainly depends on classifying the defects accurately. In this paper, we present an effective classification method for film defects acquired in the panel production line by analyzing the intensity distribution and shape feature of the defects. We first generate a binary image for each defect by separating defect regions from background (non-defect) regions. Then, we extract various features from the defect regions such as the linearity of the defect, the intensity distribution, and the shape characteristics considering intensity, and construct a referential image database that stores those feature values. Finally, we determine the type of a defect by matching a defect image with a referential image in the database through the matching cost function between the two images. To verify the effectiveness of our method, we conducted a classification experiment using defect images acquired from real TFT-LCD production lines. Experimental results show that our method has achieved highly effective classification enough to be used in the production line.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.4
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• pp.195-201
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• 2015

For median filtering (MF) detection in altered digital images, this paper presents a new feature vector that is formed from autoregressive (AR) coefficients via an AR model of the gradients between the neighboring row and column lines in an image. Subsequently, the defined 10-D feature vector is trained in a support vector machine (SVM) for MF detection among forged images. The MF classification is compared to the median filter residual (MFR) scheme that had the same 10-D feature vector. In the experiment, three kinds of test items are area under receiver operating characteristic (ROC) curve (AUC), classification ratio, and minimal average decision error. The performance is excellent for unaltered (ORI) or once-altered images, such as $3{\times}3$ average filtering (AVE3), QF=90 JPEG (JPG90), 90% down, and 110% up to scale (DN0.9 and Up1.1) images, versus $3{\times}3$ and $5{\times}5$ median filtering (MF3 and MF5, respectively) and MF3 and MF5 composite images (MF35). When the forged image was post-altered with AVE3, DN0.9, UP1.1 and JPG70 after MF3, MF5 and MF35, the performance of the proposed scheme is lower than the MFR scheme. In particular, the feature vector in this paper has a superior classification ratio compared to AVE3. However, in the measured performances with unaltered, once-altered and post-altered images versus MF3, MF5 and MF35, the resultant AUC by 'sensitivity' (TP: true positive rate) and '1-specificity' (FN: false negative rate) is achieved closer to 1. Thus, it is confirmed that the grade evaluation of the proposed scheme can be rated as 'Excellent (A)'.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.539-548
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• 2001

In this paper, we propose that fast tracking algorithm for moving object is separated from background, using partial boundary line information. After detecting boundary line from input image, we track moving object by using the algorithm which takes boundary line information as feature of moving object. we extract moving vector on the imput image which has environmental variation, using high-performance BMA, and we extract moving object on the basis of moving vector. Next, we extract boundary line on the moving object as an initial feature-vector generating step for the moving object. Among those boundary lines, we consider a part of the boundary line in every direction as feature vector. And then, as a step for the moving object, we extract moving vector from feature vector generated under the information of the boundary line of the moving object on the previous frame, and we perform tracking moving object from the current frame. As a result, we show that the proposed algorithm using feature vector generated by each directional boundary line is simple tracking operation cost compared with the previous active contour tracking algorithm that changes processing time by boundary line size of moving object. The simulation for proposed algorithm shows that BMA operation is reduced about 39% in real image and tracking error is less than 2 pixel when the size of feature vector is [$10{\times}5$] using the information of each direction boundary line. Also the proposed algorithm just needs 200 times of search operation bout processing cost is varies by the size of boundary line on the previous algorithm.

• Journal of the Society of Naval Architects of Korea
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• v.35 no.2
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• pp.104-113
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• 1998

The line heating method is a popular technique used to form ship hull in shipyards. In order to promote shipbuilding productivity, some researchers have made progress in their studies on automatic fabrication system for plate forming. These researches have, however, focused on heat-induced plate deformation with particular mechanical modelings, and do not yet propose the heating paths applicable to actual plate forming process. In this paper, a new algorithm to determine heating lines is developed to simulate the line heating process. The important feature of this algorithm is that it calculates principal curvatures of deflection difference surface which represents difference between target surface and surface in fabrication. Several trials to typical surface types show its usefulness and good applicability to tactical use.

• Journal of Korean Institute of Industrial Engineers
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• v.12 no.1
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• pp.119-131
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• 1986

Described in this paper is a modelling methodology for mass production system simulation. The mass production system under consideration consists of various types of flow lines, special purpose production facilities, conveyor lines, palletized carts, and storage facilities. This type of production system is typical in home appliance industry, automobile industry, footwear industry, etc. where a variety of product mix are mass-produced. The modelling methodology is based on the "discrete-event formalism", and an "activity-oriented world view" is adopted to formalize the system description. A distinctive feature of the modelling methodology is that only the static structure (ie, system components) is included in the fixed model. The dynamic structure of the system is specified through a "data-driven" mechanism, which is an extension of the "experimental frame" concept. Each type of system components (ie, flow line, conveyors, carts, etc.) is formally modeled by using Activity Cycle Diagrams. The issue of "model structuring" is also addressed. The modeling methodology has been successfully applied in a real simulation study of a mass production system.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.91-102
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• 2019

Tibet has a long history and many traditions that feature colorful costumes. This study analyzes the similarities and differences in the use of multicolored stripes in the Korean Saekdong (색동: stripes of many colors) and Tibetan folk costumes. The analyses were done within the framework of Tibet's cultural and religious background and the characteristics of the region's traditional costumes. For this study, literature and photographs from books and the Internet that record the history of Tibet's traditional costumes were analyzed. The results show that the use of various colorful stripes was common in the Bangjeon (帮典) apron, one of the greatest costumes in Tibetan history. A Bangjeon is made of wool of multiple colors and has horizontal lines as compared with the silk Saekdong's vertical lines. In addition, they have a multicolored striped band on the sleeves which reminds one of the traditional Korean jacket with its Saekdong sleeves. However, these multicolored stripes appear in more parts of the Saekdong (such as the hemline and front collar) when compared with contemporary Korean costumes. Moreover, the multicolored bands are noticeable in several ornaments from the time, which suggests that Tibetans and Koreans were very fond of using multicolored stripes. Costumes from the Goguryeo (高句麗) dynasty indicate that Tibetans, like the Mongols and Manchus, were very similar to Koreans as they had multicolored garments and Paji pants in common.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.922-927
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• 2015

Checks are best considered as a (visible) sub-set of grids, and each check consists of two assemblies of parallel lines, one superimposed on the other at ninety degrees. In the conventional textile context, one assembly of parallel yarns is superimposed on another at ninety degrees. These parallel lines caused by the yarns remain visually apparent in the finished composition. Commonly, checks are considered simply as a variety of woven textile and Scottish clan tartans, or plaids (common terminology for tartans in the USA), famously display a checked feature, using differently colored yarns in woven-textile form. Often the sequence of colours and the numbers of yarns used is equal in both warp and weft directions. Where this is the case, the tartan may be considered to be 'balanced' or 'regular', with the component yarns creating square units repeating across and down the fabric. Thus in balanced tartans, lengthways components have identical ordering, colouring and measured width to those used widthways. Meanwhile an unbalanced check lacks one or more of these attributes. This paper explores further the nature of Scottish clan tartans, using data collected from collections of rare tartans held at ULITA - An Archive of International Textiles at the University of Leeds.