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改进的Closed-Form Solution景物提取算法

Improved Closed-Form Solution to Image Matting Algorithm
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摘要 针对Closed-Form景物提取算法在前景与背景复杂交错的图像内部存在细节丢失的问题,本文在原算法基础上提出了一个新的的色彩估计模型。通过改善三分图未知区域的估算方法,得以保留前景中的微小背景信息。实验结果表明,算法在一定程度上克服了原方法无法处理前景背景复杂变化的图像的缺点。 Closed-Form solution to image matting often lost details of interior when fore-and background layer is complex mixed.In view of this situation,based on the original algorithm,we present a new color estimation model to overcome the shortcoming that the original method cannot handle the complicated changes in the fore-and background of the image.
作者 张春 黄勤超
机构地区 解放军炮兵学院
出处 《微计算机信息》 2010年第35期218-220,共3页 Control & Automation
基金 基金申请人:黄勤超 项目名称:雾中目标的偏振检测方法研究 基金颁发部门:中国博士后科学基金会(20080441321)
关键词 自然景物提取 抠像技术 拉普拉斯Q Natural image matting Matting technology Laplacian
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