摘要
提出了一种新的图像分割与合成方法。对于图像的分割,提出了新的切割图法,先是手工把一些明显属于物体和明显属于背景的像素分割出来,然后设置了新的能量函数,求它取最小值时的分割结果。对于图像的合成,提出了梯度比较法,在保留物体基本颜色特征的同时,改变了物体的光亮度,使其与新背景的光亮度一致,从而合成图像的光照效果更真实。
This paper presents a new image segmentation and composition method. This method first separates the pixels which obviously belong to objects or background, then gets the cutout whose corresponding value of the new energy function is the minimum. Afterwards the cutout is fused into the target image using gradient comparing method. The gradient comparing method ensures the compliance of illumination in the resultant image meanwhile preserves the color characteristic of the object. It can be easily concluded from the experiments that the new composition method has extended applications and the resultant image has a better lighting than those produced by other methods.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第3期432-437,共6页
Journal of Image and Graphics
基金
国家自然科学基金项目(60275012)
广东省普通高校自然科学研究重点项目(04Z010)
广东省自然科学基金项目(031804)
深圳市科技计划项目(200341)
关键词
图像分割
图像合成
切割图法
梯度比较法
image segmentation, image composition, graph cut method, gradient comparing method