• Title/Summary/Keyword: Classified Image

Search Result 1,700, Processing Time 0.03 seconds

The Research of Henna Design classified by Fashion Images according to the preference of Korean Pattern (한국문양 선호도에 따른 패션 이미지별 Henna Design기획)

  • Lee Soo-Hyun;Park Ok-Lyun
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.29 no.5 s.142
    • /
    • pp.626-636
    • /
    • 2005
  • These days. the representative fashion image is sexy look. Hence, a bodily exposure phenomenon has been spread by the effect of minimal fashion. In terms of this trend, the body make-up art such as the temporary painting have the painting dyeing the surface of skin has the characteristic naturally decolorized. It is different from tattoo pricking the skin with dyes. Especially, Henna among the temporary painting has been used to represent the individual characteristic for a long time. However, the research of henna pattern related to fashion images and korean traditional patterns has never been developed before within the country. In the research, we developed Korean Henna design through the application of Korean traditional patterns. First of all, a fashion image was classified as five parts (romantic, sexy, eligant, modem and casual) adopted by relebvant experts.

Security Verification of Video Telephony System Implemented on the DM6446 DaVinci Processor

  • Ghimire, Deepak;Kim, Joon-Cheol;Lee, Joon-Whoan
    • International Journal of Contents
    • /
    • v.8 no.1
    • /
    • pp.16-22
    • /
    • 2012
  • In this paper we propose a method for verifying video in a video telephony system implemented in DM6446 DaVinci Processor. Each frame is categorized either error free frame or error frame depending on the predefined criteria. Human face is chosen as a basic means for authenticating the video frame. Skin color based algorithm is implemented for detecting the face in the video frame. The video frame is classified as error free frame if there is single face object with clear view of facial features (eyes, nose, mouth etc.) and the background of the image frame is not different then the predefined background, otherwise it will be classified as error frame. We also implemented the image histogram based NCC (Normalized Cross Correlation) comparison for video verification to speed up the system. The experimental result shows that the system is able to classify frames with 90.83% of accuracy.

Fingerprint Classification using Singular Points and Gabor filter (특이점과 Gabor 필터를 이용한 효과적인 지문 이미지 분류)

  • Lee, Min-Seob;Lee, Chul-Heui
    • Proceedings of the KIEE Conference
    • /
    • 2002.11c
    • /
    • pp.321-324
    • /
    • 2002
  • In this paper, we introduce a new approach to fingerprint classification based on both singular points and gabor features. We find singular points of fingerprint image by using squared direction field and Poincare index. Then, the input fingerprint image can be classified into one of 5 classes using the number of singular points and their location. However, it is often impossible to classify the fingerprint image because the numbers and the position of the singular points are not correct due to noise. In this case Gabor features are extracted from unclassified images using Gator filter and they are classified by using k-NN classifier. This method has been tested on the NIST-4 database. The experimental results show that the proposed method is reliable.

  • PDF

Multispectral image data compression using classified vector quantization (영역분류 벡터 양자화를 이용한 다중분광 화상데이타 압축)

  • 김영춘;반성원;김중곤;서용수;이건일
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.33B no.8
    • /
    • pp.42-49
    • /
    • 1996
  • In this paper, we propose a satellite multispectral image data compression method using classified vector quantization. This method classifies each pixel vector considering band characteristics of multispectral images. For each class, we perform both intraband and interband vector quantization to romove spatial and spectral redundancy, respectively. And residual vector quantization for error images is performed to reduce error of interband vector quantization. Thus, this method improves compression efficiency because of removing both intraband(spatial) and interband (spectral) redundancy in multispectral images, effectively. Experiments on landsat TM multispectral image show that compression efficiency of proposed method is better than that of conventional method.

  • PDF

Application of EO-1 HYPERION Data to Classifying Geological Materials

  • Choe, E.Y.;Yoon, W.J.;Kang, M.K.;Kim, T.H.
    • Proceedings of the KSRS Conference
    • /
    • 2003.11a
    • /
    • pp.576-578
    • /
    • 2003
  • Hyperspectral image divides VNIR region to over 200 bands which can show continuous spectrum with 10 nm spectral resolution. This property is useful in geology where a spectral feature which is decided by chemical compositions and crystalline structures is recorded well. While this field has been studied variously in foreign countries, the studies are in the early stage in Korea. In this study, characteristic materials associated with AMD were classified by using EO-1 HYPERION data which is a spaceborne hyperspectral image and topographical map and DEM and geochemical map were analyzed in conjunction with the image in order to examine that classified minerals are secondary minerals by AMD.

  • PDF

Effects of Agricultural Product Brand Image on the Brand Trust and Loyalty : a Case of 'Sky Green' (농산물 브랜드이미지가 브랜드신뢰 및 충성도에 미치는 영향 : 천안 '하늘그린'을 중심으로)

  • Kang, Seong-Pil;Yang, Sung-Bum;Kim, Ho
    • Korean Journal of Organic Agriculture
    • /
    • v.22 no.4
    • /
    • pp.629-643
    • /
    • 2014
  • This study analyzed how the brand image elements influenced upon forming the brand trust and the brand loyalty of the 'Sky Green' the joint agricultural product brand Cheonan, Chungnam. The brand image was classified into functional image, symbolical image and origin - associated image. And what element of the brand image element influences upon forming the brand image loyalty by the consumers who are using 'Sky Green'. In the analysis results, the functional image, symbolical image and the image associated with the origin have influenced on forming the brand trust and the brand loyalty. All variables composing the brand image have positive influences on both brand trust and brand loyalty. It means that brand image influences on brand loyalty directly but the greater influence can be exerted through the effects of the parameter of brand trust.

A Study on the Image Types and User's Preference on Image-based Fashion Curation of Domestic and Foreign SPA Brands (국내·외 SPA 브랜드의 이미지 기반 패션 큐레이션 이미지 유형 및 이용자의 이미지 선호에 관한 연구)

  • Kim, Ji U;Oh, Kyung Wha
    • Fashion & Textile Research Journal
    • /
    • v.18 no.4
    • /
    • pp.477-488
    • /
    • 2016
  • This study classified and analyzed the types of images posted on official accounts operated by domestic and foreign SPA brands on Instagram and Pinterest, which are image-based fashion curations, and performed a survey on preferred image types in the fashion curations of SPA brands. It aims to induce active apparel purchasing behavior of consumers through the suggestion of image types about fashion curations for effective communication between fashion brands and consumers. The survey to targets the 20s and 30s was carried out from October 23, 2015 until November 22 and conducted factor analysis, paired t-test. The above images were classified into four types based on previous studies: product images, brand images, lifestyle images, multiple images. The results of the survey were also divided into four factors in line with the classification of image types. Generally, foreign SPA brands(H&M, Uniqlo, Zara) used image-based fashion curation services more frequently than domestic SPA brands(8Seconds, Mixxo, Spao, Tngt). The analysis of image types in the fashion curations of SPA brands showed that product images accounted for the highest proportion of images used in the official accounts of SPA brands. However, the comparison of averages on the preferred image types of survey respondents showed that the users who had once visited the official accounts of SPA brands on Instagram and Pinterest preferred in the order of lifestyle information > product information > brand information > multiple information provided by SPA brands, which was statistically significant.

Attitudes of Police Science Students toward Police Image: Q-Methodological Approach (경찰행정학과 학생들의 경찰 이미지에 대한 주관적 태도 유형: Q 방법론의 적용)

  • Jung, Se-Jong;Kim, Bong-Chul;Kim, Yu-Mi
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.9
    • /
    • pp.639-650
    • /
    • 2014
  • The purpose of this study is to identify attitudes of police science students toward police image by Q-Methodology. Q-Methodology provides a method of identifying the subjectivity of each item. A survey was carried out among 40 police science students to classify the 40 selected Q-statements into a normal distribution using a 11 point scale. The collected data was analyzed by QUANL program and principal component analysis was used to identify the types of police image. As a result of this study, the police image was classified into 3 types. Type 1 can be categorized by 'fantastic image', Type 2 can be classified by 'stressful image', and Type 3 can be categorized by 'charismatic image'. These results will be used to develop a programs for improving police science students' education and will be a basis for reforming police image.

Segmention-Based Residual Image Coding Using Classified Vectior Quantizer (분할기반 잉여신호의 CVQ 영상 부호화)

  • 김남철;김종우;홍원학;석민수
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.30B no.1
    • /
    • pp.63-71
    • /
    • 1993
  • An efficient RVQ image coding method is proposed using the segmentation-based coding and CVQ techniques. In the proposed method the residual image, the difference between an original image and the synthesized one obtained from the segmentation-based coding, is first dividel into $\times$4 subblocks. They are then individually coded in the spatial domain using a simple CVQ. Experimental results show that the proposed method yields better quality of the reconstructed images in both PSNR and subjective test over the basic VQ and SMVQ.

  • PDF

Landuse classifications from Thematic Mapper Images Using a Maximum Likelihood Method (위성영상을 이용한 토지이용분류에 관한 연구)

  • 박희성;박승우
    • Proceedings of the Korean Society of Agricultural Engineers Conference
    • /
    • 1998.10a
    • /
    • pp.366-369
    • /
    • 1998
  • To get the knowledge of land uses for watersheds, Thematic Mapper image from Landsat 5 satellite was used. The image was classified into land covers/uses by maximum likelihood classification technique. Land uses from the satellite image in this study was compared with those from the topographical map in previous. It was found that Land uses from the satellite image had a good reflection of real situations and more advantage in the reduction of time and cost.

  • PDF