• Title/Summary/Keyword: Image pattern analysis

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Implementation on Optimal Pattern Classifier of Chromosome Image using Neural Network (신경회로망을 이용한 염색체 영상의 최적 패턴 분류기 구현)

  • Chang, Y.H.;Lee, K.S.;Chong, H.H.;Eom, S.H.;Lee, Y.W.;Jun, G.R.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.290-294
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    • 1997
  • Chromosomes, as the genetic vehicles, provide the basic material for a large proportion of genetic investigations. The human chromosome analysis is widely used to diagnose genetic disease and various congenital anomalies. Many researches on automated chromosome karyotype analysis has been carried out, some of which produced commercial systems. However, there still remains much room for improving the accuracy of chromosome classification. In this paper, we propose an optimal pattern classifier by neural network to improve the accuracy of chromosome classification. The proposed pattern classifier was built up of two-step multi-layer neural network(TMANN). We are employed three morphological feature parameters ; centromeric index(C.I.), relative length ratio(R.L.), and relative area ratio(R.A.), as input in neural network by preprocessing twenty human chromosome images. The results of our experiments show that our TMANN classifier is much more useful in neural network learning and successful in chromosome classification than the other classification methods.

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The Implementation of Pattern Classifier or Karyotype Classification (핵형 분류를 위한 패턴 분류기 구현)

  • Eom, S.H.;Nam, K.G.;Chang, Y.H.;Lee, K.S.;Chang, H.H.;Kim, G.S.;Jun, G.R.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.133-136
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    • 1997
  • The human chromosome analysis is widely used to diagnose genetic disease and various congenital anomalies. Many researches on automated chromosome karyotype analysis has been carried out, some of which produced commercial systems. However, there still remains much room or improving the accuracy of chromosome classification. In this paper, We propose an optimal pattern classifier by neural network to improve the accuracy of chromosome classification. The proposed pattern classifier was built up of multi-step multi-layer neural network(MMANN). We reconstructed chromosome image to improve the chromosome classification accuracy and extracted three morphological features parameters such as centromeric index(C.I.), relative length ratio(R.L.), and relative area ratio(R.A.). This Parameters employed as input in neural network by preprocessing twenty human chromosome images. The experiment results show that the chromosome classification error is reduced much more than that of the other classification methods.

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Comparative Analysis of Color Filter Array Patterns for Single Sensor Digital (싱글 센서 디지털 카메라를 위한 CFA의 다양한 패턴 비교 분석)

  • Seo, Kyunghee;Yoo, Hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.189-192
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    • 2009
  • This paper presents comparison and analysis of various CFA patterns which are used in single sensor digital camera. There are several patterns which are already used, however, images are sometimes darker or brighter than what human see in real life. Also, images show some noise and blurring. To overcome this problems, many studies on the patterns have been discussed. We carry out experiment with seven patterns including the Bayer pattern. The bilinear method is selected for a interpolation method. The experimental result indicates that image quality is not affected by individual patterns and each pattern requires its own interpolation method.

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Designing New Hanbok Products Using Saekdong -Using with CLO 3D- (색동을 활용한 신한복 제품의 디자인 개발 -CLO 3D 프로그램을 활용하여-)

  • Heeyoung Kim
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.6
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    • pp.945-962
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    • 2022
  • This study examines the use of traditional patterns by new Hanbok brands. A Saekdong print pattern based on previous research was developed and applied to clothing designs. A total of 488 images of printed products from the seven new Hanbok brands and 219 images from the collections of the National Folk Museum of Korea were analyzed. Traditional patterns accounted for 47.4% of the total printed products of the new Hanbok designs, with the following ratio of use, in descending order: flower patterns, traditional paintings, animals, geometrical designs, Dancheong, text and others, Jogakbo, and Saekdong. Saekdong was found in three brand products, and the color or shape was modified. To develop the Saekdong image, five colors - red, yellow, blue, white, and green - were selected. The ratio of use for each color and the width of each color were determined with reference to previous studies. The average color value was determined through color analysis of the Saekdong collections. A total of seven items were designed for the print pattern, and four items were added for coordination to consist of four styles. This study aims to use the results of this analysis to provide insights into product development using traditional patterns.

Multi-Image Stereo Method Using DEM Fusion Technique (DEM 융합 기법을 이용한 다중영상스테레오 방법)

  • Lim Sung-Min;Woo Dong-Min
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.4
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    • pp.212-222
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    • 2003
  • The ability to efficiently and robustly recover accurate 3D terrain models from sets of stereoscopic images is important to many civilian and military applications. A stereo matching has been an important tool for reconstructing three dimensional terrain. However, there exist many factors causing stereo matching error, such as occlusion, no feature or repetitive pattern in the correlation window, intensity variation, etc. Among them, occlusion can be only resolved by true multi-image stereo. In this paper, we present multi-image stereo method using DEM fusion as one of efficient and reliable true multi-image methods. Elevations generated by all pairs of images are combined by the fusion process which accepts an accurate elevation and rejects an outlier. We propose three fusion schemes: THD(Thresholding), BPS(Best Pair Selection) and MS(Median Selection). THD averages elevations after rejecting outliers by thresholding, while BPS selects the most reliable elevation. To determine the reliability of a elevation or detect the outlier, we employ the measure of self-consistency. The last scheme, MS, selects the median value of elevations. We test the effectiveness of the proposed methods with a quantitative analysis using simulated images. Experimental results indicate that all three fusion schemes showed much better improvement over the conventional binocular stereo in natural terrain of 29 Palms and urban site of Avenches.

A Study on Sensibility Image of Necktie according to Width and Color Combination of Checked Pattern (체크패턴의 폭과 색채조합에 따른 넥타이의 감성이미지 연구)

  • Choi, Su-Koung;Jung, Su-Jin;Sung, Nam-Suk
    • Science of Emotion and Sensibility
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    • v.12 no.4
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    • pp.545-556
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    • 2009
  • The purpose of this study was to investigate the sensibility image of necktie according to width and color combination of checked pattern. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 18 color pictures, in which the width(small: 0.2cm, medium: 1cm, large: 2cm), tone combination(similar, contrast), and hue combination(WR: white+red, WB: white+blue, WG: white+gray) were manipulated. The 7-point scale was used for evaluation of sensibility image. The subjects of this research were 216 female college students living in Gyeongnam. The investigation was carried out at September 2009. The data were analyzed by using SPSS program. Analysis methods were ANOVA and Duncan-test. The results of this study were as follows.; The analyses of sensibility for necktie according to width and color combination of checked pattern revealed that the concerned factors are five characteristic dimensions of attractiveness, youth, appeal, elegance, and warmness. Width showed an independent effect on appeal. Tone combination showed an independent effect on attractiveness, appeal, elegance, and warmness. Interaction effects of width and tone combination on attractiveness were found. Hue combination showed an independent effect on all dimensions. In addition, significant interaction effects of width and hue combination on attractiveness, youth, appeal, and elegance were found. Significant interaction effects of tone combination and hue combination on attractiveness, youth, and appeal were found.

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A Study on Beverage Consumption Pattern and Image of College Students (대학생들의 음료 소비실태 및 이미지 조사 연구)

  • 박모라
    • Journal of the East Asian Society of Dietary Life
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    • v.9 no.4
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    • pp.501-513
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    • 1999
  • In order to investigate consumption pattern and image of beverage, this study was performed by using questionnaire based on stratified random sampling about 200 students from September 6, 1999 to September 18, 1999. The result was as followings: 1. For the reasons of each beverage consumption, coke, soda pop and sport drinks were for quenching thirst. And coffee and juices were for dessert and milk.yoghurts, dietary beverages, green tea and ginseng tea were for health. 2. For the priority in selecting each beverage, trademark was dominant factor for choosing coke. And the dominant factor of choosing milk.yoghurts and ginseng tea was nutrition and in case of other beverages taste was the first factor. 3. For the place of taking beverages, coffee, coke and sport drinks were mainly consumed in school and milk.yoghurt and juices in home. 4. The college students loved or liked milk.yoghurt and juices, and they liked or enjoyed coke, soda pop, sport drinks and green tea moderately, and enjoyed ginseng tea and black tea moderately or disliked them. 5. For the frequency of each beverage, many of them consumed coffee and milk.yoghurt once or twice a day. and consumed coke. soda pop. sport drinks and juices once or twice a week. And they answered that they did not consume dietary beverages, green tea, ginseng tea and black tea so often. 6. There was significant correlation with frequency of drinking and preference score of beverage. 7. For the consumption of the Korean traditional beverages, more than 50% of the subjects had no experience in taking sangwha tea, omiza tea, and Kugiza tea. Among them, many answered that they would try the Korean traditional beverages, if they had an opportunity, and that their price was moderate. 8. The results from the analysis of the image of those beverages were as followings; \circled1 Coffee, coke, sport drinks and dietary beverages had a modern image and green tea, ginseng tea and black tea had a traditional image. \circled2 Coke, sport drinks and ginseng tea had a manly image and juices, dietary beverages, green tea and black tea had a womanlike image. \circled3 The students recognized coffee, coke, milkㆍyoghurt, sport drinks, juices, dietary beverages and green tea to be daily and catholic. \circled4 Milkㆍyoghurt, juices, dietary beverages, green tea, ginseng tea and black tea were recognized to be good for health and coffee and coke bad for health. \circled5 Coffee, coke, soda pop, sport drinks, juices and green tea were slightly concerned with a change. \circled6 Coke, soda pop and sport drinks had a dynamic image and coffee, juices. green tea, ginseng tea and black tea had a little static image.

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Space Partition using Context Fuzzy c-Means Algorithm for Image Segmentation (영상 분할을 위한 Context Fuzzy c-Means 알고리즘을 이용한 공간 분할)

  • Roh, Seok-Beom;Ahn, Tae-Chon;Baek, Yong-Sun;Kim, Yong-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.368-374
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    • 2010
  • Image segmentation is the basic step in the field of the image processing for pattern recognition, environment recognition, and context analysis. The Otsu's automatic threshold selection, which determines the optimal threshold value to maximize the between class scatter using the distribution information of the normalized histogram of a image, is the famous method among the various image segmentation methods. For the automatic threshold selection proposed by Otsu, it is difficult to determine the optimal threshold value by considering the sub-region characteristic of the image because the Otsu's algorithm analyzes the global histogram of a image. In this paper, to alleviate this difficulty of Otsu's image segmentation algorithm and to improve image segmentation capability, the original image is divided into several sub-images by using context fuzzy c-means algorithm. The proposed fuzzy Otsu threshold algorithm is applied to the divided sub-images and the several threshold values are obtained.

Outdoor clothing purchasing tendencies among fashion lifestyle segments (패션 라이프스타일에 따른 아웃도어 의류 구매성향)

  • Han, Heejung
    • The Research Journal of the Costume Culture
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    • v.24 no.2
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    • pp.218-232
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    • 2016
  • The purpose of this study was to investigate the differences in various fashion lifestyle segments' perceived benefits and design preferences for outdoor clothing to improve the development of outdoor clothing. Data were collected by questionnaire from 600 subjects aged 30 years and over with experience purchasing outdoor clothing in the past year. Frequency analysis, factor analysis, cluster analysis, reliability analysis, ANOVA, and chi-square analysis were used for the data analysis. The results of this study were as follows. Four segments were identified based on fashion lifestyle: manifoldly conscious, sensation conscious, practicality conscious, and brand conscious. Perceived outdoor clothing benefits generated three dimensions, including premium brand, practicality, and functionality, and preferred image produced two factors, tasteful/refined and comfortable/casual. Significant differences were found in the purpose of purchasing outdoor clothing, perceived benefit, and image and t-shirt pattern design preference among the segments. The manifoldly conscious group had a higher tendency to pursue various benefits and images of outdoor clothing and to prefer t-shirt textile designs with foulards and stripes. The sensation conscious group considered fashion and individuality in daily life but not in outdoor clothing. The practicality conscious group showed a preference for simple and casual styles with functionality and foulard patterns for t-shirts. The brand conscious group tended to prefer a striking design to functionality. This study is expected to be used as preliminary data for merchandising planning of outdoor clothing.

A Study on the Visual Images of Checked Pattern Shirts in Achromatic Color (무채색 체크무늬 셔츠의 시각적 이미지 연구)

  • Choi, Su-Koung
    • Korean Journal of Human Ecology
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    • v.19 no.2
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    • pp.399-407
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    • 2010
  • The purpose of this study was to investigate the visual images of shirts according to coloration and the interval of checked patterns. The experimental stimulus and questionnaires for scaling response were developed for this study. The stimuli were 12 color pictures, in which the gender, coloration(WG: white+gray, WK: white+black, GK: gray+black), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point rating scale was used for evaluation of the visual image. Data were obtained from 144 male college students and 144 female college students living in Gyeonggi, Gyeongnam, Seoul, Gwangju, Daegu, and Busan on December 2009. For data analysis, ANOVA and the Duncan-test were used by using the SPSS program. The results of this study were as follows; the visual images for shirts according to the coloration and interval of checked patterns consisted of four dimensions of attractiveness, appeal, youth, and modesty. Gender was the main factor when looking at attractiveness. Coloration had the main effect on appeal, youth, and modesty. Also, there was a significant interaction effect of gender and coloration on attractiveness, while there was a significant interaction effect of coloration and interval on modesty.