• Title/Summary/Keyword: Image Discrimination

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Color Analysis for the Quantitative Aesthetics of Qiong Kiln Ceramics

  • Wang, Fei;Cha, Hang;Leng, Lu
    • Journal of Multimedia Information System
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    • v.7 no.2
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    • pp.97-106
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    • 2020
  • The subjective experience would degrade the current artificial artistic aesthetic analysis. Since Qiong kiln ceramics have a long history and occupy a very important position in ceramic arts, we employed computer-aided technologies to quickly automatically accurately and quantitatively process a large number of Qiong kiln ceramic images and generate the detailed statistical data. Because the color features are simple and significant visual characteristics, the color features of Qiong kiln ceramics are analyzed for the quantitative aesthetics. The Qiong kiln ceramic images are segmented with GrabCut algorithm. Three moments (1st-order, 2nd-order, and 3rd-order) are calculated in two typical color spaces, namely RGB and HSV. The discrimination powers of the color features are analyzed according to various dynasties (Tang Dynasty, Five Dynasties, Song Dynasty) and various utensils (Pot, kettle, bowl), which are helpful to the selection of the discriminant color features among various dynasties and utensils. This paper is helpful to promoting the quantitative aesthetic research of Qiong kiln ceramics and is also conducive to the research on the aesthetics of other ceramics.

Development of Traffic Light Automatic Discrimination System Using Digital Image Processing Technology (디지털영상처리 기술을 이용한 교통신호등 자동 판별 시스템 개발)

  • Kim, Sun-Dong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.2
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    • pp.92-99
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    • 2009
  • This paper established the range of the wavelength of traffic lights to detection the color of traffic lights and the color component segmentation with the range of the wavelength. Development of traffic light automatic discrimination system is consists of the color detection and the traffic lights recognition. In this thesis, it established the range of the wavelength of traffic lights to detection the color of traffic lights and the color segmentation with the range of the wavelength. By the segmentation, the traffic light colors(red, orange and green) can be detected and the background is changed into gray image. Next, we proposed the algorithm which can detect the area of traffic lights in the various surroundings with the wavelet transformation algorithm. Also, we proposed traffic lights recognition algorithm using between the edge operator and the Hausdorff distance algorithm based on CBIR(Content-based Image retrieval). Therefore, the proposed algorithm is more superior to the conventional algorithm by experimenting with the illumination including the traffic lights and the backgrounds with various images.

Exploratory Research on Marriage Migrant Recognition for Unmarried Vietnamese Women (베트남 미혼여성의 결혼이주 인식에 대한 탐색적 연구)

  • Lee, Eun Joo;Jun, Mi Kyung
    • Human Ecology Research
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    • v.53 no.2
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    • pp.195-208
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    • 2015
  • This study explored general marriage migration for 180 unmarried Vietnamese immigrant women and identified differences in recognition after the choice of marriage. The methods used were frequency analysis, kai verification, and independent t verification were conducted. The findings were as follows. First, unmarried Vietnamese women showed a receptive attitude towards marriage migration with the less-educated group more likely to opt for marriage migration. Economic benefit expectations topped other factors in regards to the image of marriage migrant women and motivation. Dual national identity benefits were also indicated. Second, the perception of external and illusionary images of the spouses of marriage migrant women was low; however, the perception of good occupations and gender equality was high. A vague expectancy of marriage was also found. The perception was high that children from multi-cultural families would be global bilingual talents and adjust to school; however, the perception of social discrimination or prejudice was low. The perception of social discrimination was low concerning the perception of social integration towards marriage migrant women; however, the perception of identities, cultural differences and employment was present. By contrast, the group opting for marriage migration showed a significantly low perception of social discrimination and difficulty in employment. The suggested measures are to regulate and maintain forms of marriage type, reinforce prior training systems for Vietnamese immigrant women (and spouses), enhance multicultural recognition, and supplement multicultural policies.

Feature Extraction of Shape of Image Objects in Content-based Image Retrieval (내용기반으로한 이미지 검색에서 이미지 객체들의 외형특징추출)

  • Cho, June-Suh
    • The KIPS Transactions:PartB
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    • v.10B no.7
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    • pp.823-828
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    • 2003
  • The main objective of this paper is to provide a methodology of feature extraction using shape of image objects for content-based image retrieval. The shape of most real-life objects is irregular, and hence there is no universal approach to quantify the shape of an arbitrary object. In particular. electronic catalogs contain many image objects for their products. In this paper, we perform feature extraction based on individual objects in images rather than on the whole image itself, since our method uses a shape-based approach of objects using RLC lines within an image. Experiments show that shape parameters distinctly represented image objects and provided better classification and discrimination among image objects in an image database compared to Texture.

The Analysis of Information Transfer Efficiency in Medical Image Display

  • Kim, Jong-Hyo;Min, Byoung-Goo;Han, Man-Cheong;Lee, Choong-Woong
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.55-57
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    • 1992
  • Image display is the last step of imaging chain in which the diagnostic information is transformed into perceivable intensities and transformed to observer's eye-brain system. In this process, a certain part of information may be efficiently transfered and another part may be inefficiently transfered leading to information loss. In this study, the visual perceptual properties of image display on CRT monitor has been investigated. Psychophysical experiment of target image detection has been performed using CRT monitor for various background grey levels, and the threshold difference grey levels required for visual discrimination have been predicted by computer simulation with visual model.

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A Perceived Contrast Compensation Method Adaptive to Surround Luminance Variation for Mobile Phones

  • Yang, Cheng;Zhang, Jianqi;Zhao, Xiaoming
    • Journal of the Optical Society of Korea
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    • v.18 no.6
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    • pp.809-817
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    • 2014
  • The loss in contrast-discrimination ability of the human visual system under high ambient illumination level can cause image quality degradation in mobile phones. In this paper, we propose a perceived contrast compensation method by processing the original displayed image. With consideration that the perceived contrast significantly varies across the image, this method extracts the local band contrast from the original image; it then compensates these contrast components to counteract the perceived contrast degradation. Experimental results demonstrate that this method can maintain most contrast details even in high ambient illumination levels.

Extraction of figures and characters with the aid of color discrimination

  • Sakai, Y.;Kitazawa, M.;Kuo, Y.
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.303-306
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    • 1995
  • The present paper deals with extraction of figures and characters from their background using the knowledge of color. At each pixel of the image on the CRT sent from a video camera, RGB values are transformed into the values in another color system, HSI, where "H" denotes hue;"S" denotes saturation;"I" denotes intensity. Representing color in HSI color space is advantageous, since a human feels color mainly in hue with the aid of brightness and purity. Comparing HSI data thus obtained with the masked original image detects noise-free edges included in the orginal image. Then setting a set of HSI thresholds and changing it identifies the portion of image of the same color. This color information is used in recongnizing characters and figures as an auxiliary system of a hierachical figure categorization method for characters and figures recognition.cters and figures recognition.

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Discrimination for Line-clustering Segmental Approach to Steel-tube X-ray Image (경사조사(傾斜照射) 강판튜브 방사선영상 영역특성 분석)

  • Hwang, Jung-Won;Hwang, Jae-Ho
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.399-400
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    • 2007
  • This paper proposes an regional analytic approach in image data space for radiographic image. Image is segmented into four regions, such as background, thickness, weld area and tube area, due to directional properties. Each region has its own gray level distribution, contrast range and noise property, originated from X-ray project mechanism and electric control system itself. Projection incorrectness and noise influence included on imaging quality is analyzed functionally and statistically. The experimental results shows not only segmental effects, but also visual edge evaluation.

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Synergic Effect of using the Optical and Radar Image Data for the Land Cover Classification in Coastal Region

  • Kim, Sun-Hwa;Lee, Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1030-1032
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    • 2003
  • This study a imed to analyze the effect of combined optical and radar image for the land cover classification in coastal region. The study area, Gyeonggi Bay area has one of the largest tidal ranges and has frequent land cover changes due to the several reclamations and rather intensive land uses. Ten land cover types were classified using several datasets of combining Landsat ETM+ and RADARSAT imagery. The synergic effects of the merged datasets were analyzed by both visual interpretation and an ordinary supervised classification. The merged optical and SAR datasets provided better discrimination among the land cover classes in the coastal area. The overall classification accuracy of merged datasets was improved to 86.5% as compared to 78% accuracy of using ETM+ only.

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NDFT-based Image Steganographic Scheme with Discrimination of Tampers

  • Wang, Hongxia;Fan, Mingquan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.12
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    • pp.2340-2354
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    • 2011
  • A new and secure image steganographic scheme based on nonuniform discrete Fourier transform (NDFT) is proposed in this paper. First, the chaotic system is introduced to select embedding points randomly in NDFT domain suitable range, and NDFT is implemented on every non-overlapping block of eight consecutive pixels. Second, the secret messages are scrambled by chaotic systems, and embedded into frequency coefficients by quantization method. The stego-image is obtained by inverse NDFT (INDFT). Besides, in order to discriminate tampers, the low frequency wavelet coefficients of 7 most significant bits (MSBs) of the stego-image are converted into the binary sequence after nonuniform scalar quantization. Then the obtained binary sequence is scrambled by the chaotic systems, and embedded into the least significant bit (LSB) of the stego-image. Finally, the watermarked stego-image can be obtained by a new improved LSB steganographic method. The embedded secret messages can be extracted from the watermarked stego-image without the original cover image. Experimental results show the validity of the proposed scheme, and dual statistics attacks are also conducted to indicate the security.