• Title/Summary/Keyword: Color extraction

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Content Based Image Retrieval Using Combined Features of Shape, Color and Relevance Feedback

  • Mussarat, Yasmin;Muhammad, Sharif;Sajjad, Mohsin;Isma, Irum
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.12
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    • pp.3149-3165
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    • 2013
  • Content based image retrieval is increasingly gaining popularity among image repository systems as images are a big source of digital communication and information sharing. Identification of image content is done through feature extraction which is the key operation for a successful content based image retrieval system. In this paper content based image retrieval system has been developed by adopting a strategy of combining multiple features of shape, color and relevance feedback. Shape is served as a primary operation to identify images whereas color and relevance feedback have been used as supporting features to make the system more efficient and accurate. Shape features are estimated through second derivative, least square polynomial and shapes coding methods. Color is estimated through max-min mean of neighborhood intensities. A new technique has been introduced for relevance feedback without bothering the user.

Extraction of Automobile License Plate and Separation of Character Region Using Hue and saturation (색조와 순도를 이용한 차량번호판 검출 및 문자영역 분리)

  • 박종욱;엄재원;최태영
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.1081-1084
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    • 1999
  • This paper proposes a method of extracting automobile license plate information using color image processing and separation of character regions. The hue and saturation of color information is need for license plate extraction and the specified standard location ratio is need for character region separation. Simulation results show that the proposed algorithm can detect license plates and separate character regions successfully.

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Optimization of Extraction Conditions for Lyophyllum ulmarium by Response Surface Methodology (반응표면분석에 의한 만가닥 버섯의 추출조건 최적화)

  • 김현구;최맑음;김미옥;김공환
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.32 no.4
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    • pp.574-580
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    • 2003
  • Optimal extraction conditions for yield, browning color, electron donating ability, nitrite scavenging effect, total polyphenol content and tyrosinase inhibitory activity of Lyophyllum ulmarium were determined by using response surface methodology (RSM) through the central composite design. The extraction yield of Lyophyllum ulmarium was effected by ethanol concentration and browning color was improved with the increase of ethanol concentration than microwave power. The nitrite scavenging effect was improved with the increase of ethanol concentration and decrease of microwave power The electron donating ability, browning color, tyrosinase inhibitory activity and total polyphenol content were improved with the increase in ethanol concentration and microwave power. The optimal ranges of extraction conditions for effective components of Lyophyllim ulmarium were predicted as 60.05~102.75 watt of microwave power, 53.20~64.01% of ethanol concentration and 7.77 min of extraction time.

Development of A Framework for Robust Extraction of Regions Of Interest (환경 요인에 독립적인 관심 영역 추출을 위한 프레임워크의 개발)

  • Kim, Seong-Hoon;Lee, Kwang-Eui;Heo, Gyeong-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.49-57
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    • 2011
  • Extraction of regions of interest (ROIs) is the first and important step for the applications in computer vision and affects the rest of the application process. However, ROI extraction can be easily affected by the environment such as illumination, camera, etc. Many applications adopt problem-specific knowledge and/or post-processing to correct the error occurred in ROI extraction. In this paper, proposed is a robust framework that could overcome the environmental change and is independent from the rest of the process. The proposed framework uses a differential image and a color distribution to extract ROIs. The color distribution can be learned on-line, which make the framework to be robust to environmental change. Even more, the components of the framework are independent each other, which makes the framework flexible and extensible. The usefulness of the proposed framework is demonstrated with the application of hand region extraction in an image sequence.

Feature Extraction for Protein Pattern Using Fuzzy Integral (퍼지적분을 이용한 단백질패턴에 관한 특징추출)

  • Song, Young-Jun;Kwon, Heak-Bong;Kim, Mi-Hye
    • The Journal of the Korea Contents Association
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    • v.7 no.1
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    • pp.40-47
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    • 2007
  • In the protein macro array image, it is important to find out the feature of the each protein chip. A decision error by the personal sense of sight occurred from long time observation while making an experiment in many protein chip image. So the feature extraction is needed by a simulator. In the case of feature analysis for macro array scan image the efficiency is maximized. In the fluorescence scan image, the response for each cell have been depend on R, G, B distribution of color image. But it is difficult to be classified as one color feature in the case of mixed color image. In this paper, the response color of a protein chip is classified according to the fuzzy integral value with respect to fuzzy measure as the user desired color. The result of the experiment for the macro array fluorescence image with the Scan Array 5000 shows that the proposed method using the fuzzy integral is important fact to be make decision for the ambiguous color.

Design and Implementation of Efficient Plate Number Region Detecting System in Vehicle Number Plate Image (자동차 번호판 영상에서 효율적인 번호판 영역 검출 시스템의 설계 및 개발)

  • Lee Hyun-Chang
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.87-94
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    • 2005
  • This paper describes the method of detecting the region of vehicle number plate in colored car image with number plate. Vehicle number plate region generally shows formula colors in accordance with type of car. According to this, we use the method to combine a color ingredient H of HSI color model and a color ingredient Q of YIQ color model. However, the defect which a total operation time takes much exists if it uses such method. Therefore, in this paper, the concurrent accomplishes a candidate area extraction operation as draw a color H and Q ingredient among steps of extracting a region of vehicle number Plate. After the above step, as a next step in combination with color H and Q we can accomplish an region extraction fast by comparing to candidate regions extracted from each steps not to do a comparison operation to all of image pixel information. We also show implementation results Processed at each steps and compare with extraction time according to image resolutions.

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A Study on the Extraction of Vectoring Objects in the Color Map Image (칼라지도영상에서의 벡터링 대상물 추출에 관한 연구)

  • 김종민;김성연;김민환
    • Spatial Information Research
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    • v.3 no.2
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    • pp.179-189
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    • 1995
  • To make vector data from a map which has no negative plates by using vectoring tool, it is necessary that we can extract objects to be vectorized from a scanned map. In this paper, we studied on extracting vectoring objects from scanned color maps. To do this, we classified vectoring objects into three types : line type, filled - area type and character/symbol type. To make the extraction method effective, we analyzed characteristics of vectoring objects and color distribution in scanned color maps. Then, we applied these characteristics to designing process of the extraction method. To extract the line type object, our line tracing method was designed by using the masks which considered connectivity and geometrical characteristics of lines. By using the local thresholding method and the similarity function for comparing the color distribution between two NxN blocks, we extracted character/symbol and the filled-area objects effectively. The method proposed in this paper can be used for constructing the small scale GIS application economically using existing color maps.

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Color and Motion Feature Extraction Algorithm for Content-Based Video Retrieval (내용 기반 동영상 검색을 위한 컬러 및 모션 특징 추출 알고리즘)

  • 김영재;이철희;권용무
    • Journal of Broadcast Engineering
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    • v.4 no.2
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    • pp.187-196
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    • 1999
  • This paper presents an efficient and automatic color and motion feature extraction algorithm for content-based MPEG-l video retrieval. Based on the proposed method. a video retrieval system is implemented. For color feature. the proposed algorithm considers dynamic color iRformation in video data, and thereby can overcome the limits of the previous key-frame based method. For motion feature, we utilize the motion vector in MPEG-l video with color information. and extract the color-motion feature. The proposed algorithm can solve the weakness of the previous location based motion feature method. Finally. the proposed method is evaluated within the implemented video retrieval system.

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Content-Based Image Retrieval Using Visual Features and Fuzzy Integral (시각 특징과 퍼지 적분을 이용한 내용기반 영상 검색)

  • Song Young-Jun;Kim Nam;Kim Mi-Hye;Kim Dong-Woo
    • The Journal of the Korea Contents Association
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    • v.6 no.5
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    • pp.20-28
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    • 2006
  • This paper proposes visual-feature extraction for each band in wavelet domain with both spatial frequency features and multi resolution features, and the combination of visual features using fuzzy integral. In addition, it uses color feature expression method taking advantage of the frequency of the same color after color quantization for reducing quantization error, a disadvantage of the existing color histogram intersection method. Also, it is found that the final similarity can be represented in a linear combination of the respective factors(Homogram, color, energy) when each factor is independent one another. With respect to the combination patterns the fuzzy measurement is defined and the fuzzy integral is taken. Experiments are peformed on a database containing 1,000 color images. The proposed method gives better performance than the conventional method in both objective and subjective performance evaluation.

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Face region detection algorithm of natural-image (자연 영상에서 얼굴영역 검출 알고리즘)

  • Lee, Joo-shin
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.1
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    • pp.55-60
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    • 2014
  • In this paper, we proposed a method for face region extraction by skin-color hue, saturation and facial feature extraction in natural images. The proposed algorithm is composed of lighting correction and face detection process. In the lighting correction step, performing correction function for a lighting change. The face detection process extracts the area of skin color by calculating Euclidian distances to the input images using as characteristic vectors color and chroma in 20 skin color sample images. Eye detection using C element in the CMY color model and mouth detection using Q element in the YIQ color model for extracted candidate areas. Face area detected based on human face knowledge for extracted candidate areas. When an experiment was conducted with 10 natural images of face as input images, the method showed a face detection rate of 100%.