公开(公告)号：US20170076462A1

公开(公告)日：2017-03-16

申请号：US15259935

申请日：2016-09-08

Applicant: Korea Electronics Technology Institute

Inventor： Choong Sang Cho ,  Hwa Seon Shin ,  Young Han Lee ,  Joo Hyung Kang

IPC: G06T7/00 ,  G06K9/62 ,  G06K9/52 ,  G06K9/46

CPC classification number: G06K9/52 ,  G06K9/342 ,  G06K9/46 ,  G06K9/6215 ,  G06T7/11 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/20021 ,  G06T2207/20116 ,  G06T2207/30048

Abstract: Provided herein is a robust region segmentation method and a system using the same, the method including receiving setting of an image in an input image; calculating representative values for each of an internal portion and an external portion of the region; calculating a cost by substituting the representative values and a pixel value of the image in a cost function, and updating the region based on the calculated cost, wherein the cost function includes a term in which a difference between the updated pixel value and an original pixel value is reflected, thereby enabling an accurate region segmentation even in ambiguous images that are complicated and where division of regions is unclear.

Abstract translation: 本文提供了鲁棒区域分割方法和使用该方法的系统，该方法包括接收输入图像中的图像的设置; 计算该区域的内部部分和外部部分中的每一个的代表值; 通过在成本函数中代替图像的代表值和像素值来计算成本，并且基于计算出的成本来更新该区域，其中，成本函数包括其中更新的像素值和原始像素之间的差值 反映了这一点，从而即使在复杂的模糊图像中也能进行精确的区域分割，并且区域划分不清楚。