【摘要】 为了提高图像角点检测精度和提升角点运算效率,提出了一种新颖的基于B-样条尺度空间的轮廓演化差异的角点检测算法。把DoB(Difference of B-spline)的范数定义为角点的响应函数,用来刻画其尺度演化差异。DoB角点检测器融合了图像轮廓在不同尺度下的特征信息,既增强了特征点的响应,又抑制了噪声的影响。采用B-样条函数做卷积运算在各类角点检测器中复杂度小,速度快。通过实验对比,结果表明提出的算法具有良好的定位、抗噪及旋转和尺度不变性。更多还原

【Abstract】 In order to improve image corner detection precision and efficiency,a novel corner detection algorithm based on B-spline scale space evolution difference is proposed. The norm of DoB is defined as corner response function to evaluate the multi-scale evolution difference. The DoB corner detector confluents the image boundary features with different scales,which can not only strengthen the response of the feature points,but also depress the influence of noise. Among all corner detection algorithms based on B-Spline,the proposed algorithm is relatively lower for computation complexity and faster. The comparative experiments demonstrate that the proposed algorithm works well for localization,robustness against noise,as well as invariance to rotation and scalability.更多还原