| 摘要 |
PROBLEM TO BE SOLVED: To highly accurately and quickly extract a subject with various images. SOLUTION: When the dispersion value of concentration values is a threshold or higher in the neighborhood of a reference point, it is judged that an image pattern has texture priority characteristics, and when the dispersion value is less than the threshold, it is decided that changes in the concentration values is smooth (S11). When the dispersion value is the threshold or higher (S11), a texture featured value is loaded (S12), and a featured value suitable for area growth (for example, texture energy) is calculated (S13), and a distance DT related to the texture featured value is calculated (S14). When the dispersion value is less than the threshold (S11), a color component featured value is loaded (S16), and a feature value suitable for area growth (for example, a featured vector calculated from local histogram related to the color components or the list of central color components or the like) is extracted (S17), and a distance DC related to the color components is calculated (S18). The area growth based on the corresponding featured value is operated (S15, S19), and an update position based on the new boundary line of a core area obtained by unifying the area growth results from each reference point is decided (S20). |
