Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (4)
  • Open Access


    Research on the Identification of Hand-Painted and Machine-Printed Thangka Using CBIR

    Chunhua Pan1,*, Yi Cao2, Jinglong Ren3

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1081-1091, 2022, DOI:10.32604/iasc.2022.028763

    Abstract Thangka is a unique painting art form in Tibetan culture. As Thangka was awarded as the first batch of national intangible cultural heritage, it has been brought into focus. Unfortunately, illegal merchants sell fake Thangkas at high prices for profit. Therefore, identifying hand-painted Thangkas from machine-printed fake Thangkas is important for protecting national intangible cultural heritage. The paper uses Content-Based Image Retrieval (CBIR) techniques to analyze the color, shape, texture, and other characteristics of hand-painted and machine- printed Thangka images, in order to identify Thangkas. Based on the database collected and established by this project team, we use Local Binary… More >

  • Open Access


    An Efficient Deep Learning-based Content-based Image Retrieval Framework

    M. Sivakumar1,*, N. M. Saravana Kumar2, N. Karthikeyan1

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 683-700, 2022, DOI:10.32604/csse.2022.021459

    Abstract The use of massive image databases has increased drastically over the few years due to evolution of multimedia technology. Image retrieval has become one of the vital tools in image processing applications. Content-Based Image Retrieval (CBIR) has been widely used in varied applications. But, the results produced by the usage of a single image feature are not satisfactory. So, multiple image features are used very often for attaining better results. But, fast and effective searching for relevant images from a database becomes a challenging task. In the previous existing system, the CBIR has used the combined feature extraction technique using… More >

  • Open Access


    Book Retrieval Method Based on QR Code and CBIR Technology

    Qiuyan Wang1, *, Haibing Dong2

    Journal on Artificial Intelligence, Vol.1, No.2, pp. 101-110, 2019, DOI:10.32604/jai.2019.08170

    Abstract It is the development trend of library information management, which applies the mature and cutting-edge information technology to library information retrieval. In order to realize the rapid retrieval of massive book information, this paper proposes a book retrieval method combining QR code with image retrieval technology. This method analyzes the visual features of book images, design a book image retrieval method based on boundary contour and regional pixel distribution features, and realizes the association retrieval of book information combined with the QR code, so as to improve the efficiency of book retrieval. The experimental results show that, the books can… More >

  • Open Access


    Shape, Color and Texture Based CBIR System Using Fuzzy Logic Classifier

    D. Yuvaraj1, M. Sivaram2, B. Karthikeyan3,*, Jihan Abdulazeez4

    CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 729-739, 2019, DOI:10.32604/cmc.2019.05945

    Abstract The perfect image retrieval and retrieval time are the two major challenges in CBIR systems. To improve the retrieval accuracy, the whole database is searched based on many image characteristics such as color, shape, texture and edge information which leads to more time consumption. This paper presents a new fuzzy based CBIR method, which utilizes colour, shape and texture attributes of the image. Fuzzy rule based system is developed by combining color, shape, and texture feature for enhanced image recovery. In this approach, DWT is used to pull out the texture characteristics and the region based moment invariant is utilized… More >

Displaying 1-10 on page 1 of 4. Per Page