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机构地区:[1]北京航空航天大学仪器科学与光电工程学院,北京100083
出 处:《光电工程》2005年第5期85-88,96,共5页Opto-Electronic Engineering
基 金:国家杰出青年科学基金资助项目(50125518)
摘 要:通过在连续域内,建立光栅型结构光光条图像的数学模型,提出了一种用于提取昆虫翅膀运动变形测量中弱光条中心点的图像处理方法。该方法根据光条图像灰度的二阶方向导数极值条件,利用Hessian矩阵算法提取弱光条中心点的亚像素位置,通过连续性约束、方向约束和光条间距约束等特征约束条件去除图像处理过程中出现的噪声点。实验结果表明,该方法成功地将昆虫翅膀图像中的弱光条中心点与“虚假点”进行了分离。An image processing method for extracting central points of weak stripes for the measurement of kinetic deformation of insect wings is proposed by establishing a mathematical model of grid-structured-light stripes intensity in a continuous domain. With the method, sub-pixel position of low-light-level strips central point is extracted by Hessian matrix algorithm according to second-order derivative extremum condition of strips image gray scale, which is used for considering two-dimensional variation of stripe intensity profile. Noises during image processing will be eliminated by three feature constraints such as continuity constraint, direction constraint and stripes spacing constraint. Experimental result shows that the true weak stripe center points and the false center points are successfully separated.
分 类 号:TN911.73[电子电信—通信与信息系统]
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