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.
Abstract:
Texture-based retrieval where energy values, energy variation values and rotation information of images stored in a database is extracted and stored as a texture descriptor; query texture descriptor including texture feature values and rotation information is extracted; aligning the rotating angle between the query texture descriptor and the texture descriptor according to the rotation information; and determining the similarity between the images dependent on the distance between the two images after aligning the angles between them.
Abstract:
Texture-based retrieval where energy values, energy variation values and rotation information of images stored in a database is extracted and stored as a texture descriptor; query texture descriptor including texture feature values and rotation information is extracted; aligning the rotating angle between the query texture descriptor and the texture descriptor according to the rotation information; and determining the similarity between the images dependent on the distance between the two images after aligning the angles between them.
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 textu re feature values of the image from the respective feature channels; and a thir d step of constituting a texture descriptor of the image in a vector form usin g 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-, rotati on- 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.
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.
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.
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 Polar coordinate system (Figure 4). The texture description method in the frequency domain comprises: a first step of generating a frequency layout (515) 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 (512-514); and a third step of constituting a texture descriptor of the image in a vector form (516) 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.
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.
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.