Initialization method according to feature block of object extraction in block matching method using genetic algorithm

摘要

Disclosed is an initialization method according to a feature block of object extraction in a block matching method using a genetic algorithm according to the present invention.;An image segmentation process of extracting a predetermined object from a reference frame of the image and dividing the image into predetermined blocks; A feature classification process of classifying blocks of the divided image by each feature in association with the object; And an initialization process of initializing a motion value by applying a motion value suitable for the distinguished feature block, wherein the feature-specific segmentation process includes a block associated with the extracted object, a block over an outline of the extracted object, and extraction. The block for each feature is divided into blocks within the extracted object. The initialization process includes applying a dynamic population control scheme (DPC) to a block associated with the extracted object, and applying the contour of the extracted object. The block applies the motion value of the weighted neighboring block, and the block in the extracted object applies the motion value of the neighboring block.;Therefore, according to the present invention as described above, the amount of calculation for calculating the optimum motion value is small, and the accurate motion value can be calculated.