• Title/Summary/Keyword: Image comparison

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A Study on Color Makeup Preference by Pursuing Clothing Image and Clothing Behavior (추구의복이미지와 의복태도에 따른 색조화장품 색 선호도 연구)

  • 박정혜;이선재
    • Journal of the Korean Society of Costume
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    • v.52 no.7
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    • pp.87-102
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    • 2002
  • This study is designed to find women's makeup color preferences according to their pursuing clothing image and clothing behavior. Subjects were 515 women. from 18 years to 40 years old, who are interested in color makeup and use various products. The SPSS statistical program was used for analyzing the demonstrative results of questionnaire survey. The results of this study are as follows : 1. According to color makeup preference by the pursuing image in clothing. those groups who want to have conservative and neat image and who prefer feminine and intellectual image showed the preference of brown lipsticks and eye-shadows, while groups who want to have vivid image preferred orange lipsticks and pink eye-shadows. 2. In the case of casuals, all groups preferred pink eye-shadows and lipsticks. While those groups who want to have intellectual image preferred brown lines after pint groups who want to have sexy and vivid image preferred orange and red lipsticks and blue and green eye- shadows. 3. In preference comparison of color makeup by clothing behavior, those groups who attach practicality, symbol for social status. and social acknowledgment preferred red and brown lipsticks, and brown eye-shadows. 4. In the case of wearing casuals, all groups liked pink eye-shadows and lipsticks the best. whereas the group who want to have social acknowledgment Preferred beige lipsticks and brown eye-shadows.

The Effects of the Body Image.Body Distortion and the Self-esteem on the Clothing Behaviors (신체이미지.신체왜곡 및 자아존중감이 의복행동에 미치는 영향 -태도적.지각적 신체이미지 측정을 중심으로-)

  • 송경자;김재숙
    • The Research Journal of the Costume Culture
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    • v.7 no.5
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    • pp.68-79
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    • 1999
  • The purposes of the study, based on the social comparison theory, were 1) to examine the body image and the body distortion of the late adolescent through the attitudinal and perceptual measurement of the body image and to examine the self-esteem, 2) to examine the difference of the clothing behaviors depending on the level of the body image, the body distortion and the self-esteem, 3) to examine the difference in the clothing behavior, the body image and the self-esteem according to sex. The sampling method was a convenient sampling and the subjects were 137 undergraduate students in Chungnam national University. The results of this study were as follows : The results of analysing the factors to the response of attitudinal body image emerged three factors (appearance interest, weight concern, and body satisfaction). The results of analysing the response of the clothing behavior showed four factors (fashion interest, psychological dependence of clothing, conformity to clothing, and exhibitionism of clothing). The positive group to the body image showed more interest in the fashion and had the tendency of depending on the clothing psychologically, and also showed that the group revealed much exhibitive attitude by using the clothing. The group of perceiving the face rather correctly tends to do the conformity behaviors, but the group distorting the shoulder width wider than tends to reveal more conformity behaviors. The group with the higher self-esteem had little interested in the fashion and also did the conformity behaviors slightly.

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Development of the Emotional Scale Map and Comparison of Emotional Scale between Fashion Brand Image and Brand Website Coloration Image (감성 척도 맵 개발 및 패션 브랜드의 감성이미지 비교 연구 - 브랜드 이미지와 브랜드 웹사이트 배색 이미지를 중심으로 -)

  • Yu, Ji-Hun
    • The Research Journal of the Costume Culture
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    • v.18 no.2
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    • pp.348-370
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    • 2010
  • The purpose of this study was to propose some plan which could satisfy consumer's expectation emotional needs by comparing emotional scale between fashion brand image and brand website coloration image. For this study, 12 brand websites within four fashion zone, men's clothing, women's clothing, casual wear, and sports wear were chosen. The questionnaires were comprised of 27 emotional adjectives which were selected from previous studies. The questionnaires were distributed to university students and office workers for 3 to 17 on September. Among them, 118 questionnaires were analyzed by SPSS tool. The qualitative analysis for emotional adjective sorting, content analysis for website color chip sorting, and quantitative analysis for consumers were used in this study. Some differences exist between brand image and website coloration band image as the result. As the numbers of internet user became larger, the costumer's emotional image which gives maximum satisfaction is getting more important in fashion brand website. Therefore, fashion website managers should satisfy consumers with functional and emotional needs.

Secure Fingerprint Identification System based on Optical Encryption (광 암호화를 이용한 안전한 지문 인식 시스템)

  • 한종욱;김춘수;박광호;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12B
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    • pp.2415-2423
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    • 1999
  • We propose a new optical method which conceals the data of authorized persons by encryption before they are stored or compared in the pattern recognition system for security systems. This proposed security system is made up of two subsystems : a proposed optical encryption system and a pattern recognition system based on the JTC which has been shown to perform well. In this system, each image of authorized persons as a reference image is stored in memory units through the proposed encryption system. And if a fingerprint image is placed in the input plane of this security system for access to a restricted area, the image is encoded by the encryption system then compared with the encrypted reference image. Therefore because the captured input image and the reference data are encrypted, it is difficult to decrypt the image if one does not know the encryption key bit stream. The basic idea is that the input image is encrypted by performing optical XOR operations with the key bit stream that is generated by digital encryption algorithms. The optical XOR operations between the key bit stream and the input image are performed by the polarization encoding method using the polarization characteristics of LCDs. The results of XOR operations which are detected by a CCD camera should be used as an input to the JTC for comparison with a data base. We have verified the idea proposed here with computer simulations and the simulation results were also shown.

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Deep Learning-based Single Image Generative Adversarial Network: Performance Comparison and Trends (딥러닝 기반 단일 이미지 생성적 적대 신경망 기법 비교 분석)

  • Jeong, Seong-Hun;Kong, Kyeongbo
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.437-450
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    • 2022
  • Generative adversarial networks(GANs) have demonstrated remarkable success in image synthesis. However, since GANs show instability in the training stage on large datasets, it is difficult to apply to various application fields. A single image GAN is a field that generates various images by learning the internal distribution of a single image. In this paper, we investigate five Single Image GAN: SinGAN, ConSinGAN, InGAN, DeepSIM, and One-Shot GAN. We compare the performance of each model and analyze the pros and cons of a single image GAN.

Comparison between Hyperspectral and Multispectral Images for the Classification of Coniferous Species (침엽수종 분류를 위한 초분광영상과 다중분광영상의 비교)

  • Cho, Hyunggab;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
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    • v.30 no.1
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    • pp.25-36
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    • 2014
  • Multispectral image classification of individual tree species is often difficult because of the spectral similarity among species. In this study, we attempted to analyze the suitability of hyperspectral image to classify coniferous tree species. Several image sets and classification methods were applied and the classification results were compared with the ones from multispectral image. Two airborne hyperspectral images (AISA, CASI) were obtained over the study area in the Gwangneung National Forest. For the comparison, ETM+ multispectral image was simulated using hyperspectral images as to have lower spectral resolution. We also used the transformed hyperspectral data to reduce the data volume for the classification. Three supervised classification schemes (SAM, SVM, MLC) were applied to thirteen image sets. In overall, hyperspectral image provides higher accuracies than multispectral image to discriminate coniferous species. AISA-dual image, which include additional SWIR spectral bands, shows the best result as compared with other hyperspectral images that include only visible and NIR bands. Furthermore, MNF transformed hyperspectral image provided higher classification accuracies than the full-band and other band reduced data. Among three classifiers, MLC showed higher classification accuracy than SAM and SVM classifiers.

A Study on the Traffic Flow Analysis Method by Image Processing (화상처리에 의한 교통류 해석방법에 관한 연구)

  • 이종달;이령욱
    • Journal of Korean Society of Transportation
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    • v.12 no.1
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    • pp.97-116
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    • 1994
  • Today advanced traffic management systems are required because of a high increase in traffic demand. Accordingly, the objective of this study is to take advantage of image processing systems and present image processing methods available for collection of the data on traffic characteristics, and then to investigate the possibility of traffic flow analysis by means of comparison and analysis of measured traffic flow. Data were collected at two places of Daegu city and Kyongbu expressway by using VTR. Rear view (down stream) and frontal view (up stream) methods were employed to compare and analyze traffic characteristics including traffic volume, speed, time-headway, time-occupancy, and vehicle-length, by analysis of measured traffic flow and image processing respectively. Judging from the results obtained by this study, image processing techniques are sufficient for the analysis of traffic volume, but a frame grabber equipped with high speed processor is necessary as well, with low level system judged to be sufficient for traffic volume analysis.

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A Robot Control System Using Stereoscopic Image (입체영상을 이용한 로봇 제어시스템)

  • Ko, Jun Ho;Yang, Jae Seok;Kim, Yoon Sang
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.3
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    • pp.135-140
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    • 2009
  • In this paper, a robot control system with stereoscopic Image was presented. The robot control system has an auto-focusing functionality which measures the distance between robot and object using an infrared sensor. By providing depth and information based on the stereoscopic image, it allows user to have presence and immersion as if he(she) be there. the proposed robot control system's propriety was examined through the comparison experiment with the mono-scopic image.

Displacement Measurement of Pylon using Image Processing Technique (영상처리 기법을 이용한 주탑의 변위 측정)

  • Son, Byung Jik;Jeon, Seung Gon;Heo, Gwang Hee
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.6 no.3
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    • pp.20-25
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    • 2015
  • This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.

Edge Preserving Speckle Reduction of Ultrasound Image with Morphological Adaptive Median Filtering

  • Ryu, Kwang-Ryol;Jung, Eun-Suk
    • Journal of information and communication convergence engineering
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    • v.7 no.4
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    • pp.535-538
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    • 2009
  • Speckle noise reduction for ultrasound CT image using morphological adaptive median filtering based on edge preservation is presented in this paper. Speckle noise is multiplicative feature and causes ultrasound image to degrade widely from transducer. An input image is classified into edge region and homogeneous region in preprocessing. The speckle is reduced by morphological operation on the 2D gray scale by using convolution and correlation, and edges are preserved. The adaptive median is processed to reduce an impulse noise to preserve edges. As the result, MAM of the proposed method enhances the image to about 10% in comparison with Winner filter by Edge Preservation Index and PSNR, and 10% to only adaptive median filtering.