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    TEXTURE DESCRIPTION METHOD AND TEXTURE-BASED RETRIEVAL METHOD IN FREQUENCY DOMAIN
    93.
    发明专利
    TEXTURE DESCRIPTION METHOD AND TEXTURE-BASED RETRIEVAL METHOD IN FREQUENCY DOMAIN 未知

    公开(公告)号：CA2367966C

    公开(公告)日：2008-03-11

    申请号：CA2367966

    申请日：2000-07-07

    Applicant: KOREA ELECTRONICS TELECOMM

    Inventor： KIM JIN WOONG ,  KIM MUNCHURL ,  RO YONG MAN ,  YOU KI WON

    IPC: G06T1/00 ,  G06T7/40 ,  G06F17/14 ,  G06F17/30 ,  G06K9/52 ,  G06K9/64 ,  G06T7/00

    Abstract: The present invention relates to a texture description method in frequency domains and a texture-based retrieval method using the same, in which image signals are converted into those in a frequency domain of Polar coordinate system. The texture description method in the frequency domain comprises: a first step of generating a frequency layout by partitioning the frequency domain into a set of feature channels; a second step of extracting the texture feature values of the image from the respective feature channels; and a third step of constituting a texture descriptor of the image in a vector form using the texture feature values extracted from the respective feature channels of the frequency layout. According to the present invention, in a texture-based retrieval described in the frequency domain, a retrieval method capable of satisfying respective or all the retrieval conditions such as scale-, rotation- and intensity-invariant retrieval of relevant texture images is provided. Also, a retrieval method of computing the rough scheme of texture to provide a browsing functionality in retrieving is provided.

    94.
    发明专利
    未知

    公开(公告)号：DE10033462B4

    公开(公告)日：2005-10-20

    申请号：DE10033462

    申请日：2000-07-10

    Applicant: KOREA ELECTRONICS TELECOMM

    Inventor： KIM MUNCHURL ,  KIM JIN WOONG ,  RO YONG MAN ,  YOU KI WON

    IPC: G06T1/00 ,  G06F17/14 ,  G06F17/30 ,  G06K9/52 ,  G06K9/64 ,  G06T7/00 ,  G06T7/40 ,  G06T15/00

    Abstract: A texture description method in frequency domains and a texture-based retrieval method using the same, in which image signals are converted into those in a frequency domain of a Polar coordinate system. The texture description method in the frequency domain includes a first step of generating a frequency layout by partitioning the frequency domain into a set of feature channels; a second step of extracting the texture feature values of the image from the respective feature channels; and a third step of constituting a texture descriptor of the image in a vector form using the texture feature values extracted from the respective feature channels of the frequency layout. In a texture-based retrieval described in the frequency domain, a retrieval method capable of satisfying respective or all the retrieval conditions such as scale-, rotation- and intensity-invariant retrieval of relevant texture images is provided. Also, a retrieval method of computing the rough scheme of texture to provide a browsing functionality in retrieving is provided.

    Texture-based retrieval of similar images
    97.
    发明专利
    Texture-based retrieval of similar images 未知

    公开(公告)号：GB2388761A

    公开(公告)日：2003-11-19

    申请号：GB0319202

    申请日：2000-07-06

    Applicant: KOREA ELECTRONICS TELECOMM

    Inventor： KIM JIN WOONG ,  YOU KI WON ,  KIM MUNCHURL ,  RO YONG MAN

    IPC: G06F17/30 ,  G06K9/52 ,  G06K9/64 ,  G06T7/40

    Abstract: Retrieving images where channels obtained by transforming the stored and query images to the frequency domain and partitioning them are compared to retrieve similar images. Specifically, the distance between the texture descriptors obtained from the channels is used to measure the similarity of the images. Also disclosed is retrieving images where texture descriptors and rotation information obtained from the stored and query images is used to retrieve images. Specifically, the rotation information obtained from the query image is compared with the rotation information of the stored image, these images are then aligned using this information. The similarity of the images is then measured by comparing the distance between the texture descriptors in both images.

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