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灰度图像质心快速算法

Computation of Center of Mass for Gray Level Image Based on Differential Moments Factor

  • 摘要: 对矩因子xpyq做差分变换为函数F1(),将图像函数f(x,y)做累进求和变换为函数F2().用F1()和F2()相乘求取质心.由于0阶和1阶矩因子中的p,q不大于1,经差分后的F1()除右端点外,其值都为1,乘1的运算当然可以不做,从而消去了乘法运算.对任意大小和任意级别的灰度图像,乘除法运算次数仅为3次,而加法运算次数也有降低.文中算法计算结果精确,其运算效率高于已有其他算法.

     

    Abstract: Moments factors xpyq are transformed to function F1()by differential operation and image functions f ( i,j) are transformed to function F2() by accumulative summation.As‘p’and‘q’in the zeroth and first order moment factors are not larger than 1,so its value is 1 after differential operation. Multiplication by 1 can be omitted.For images of any size and any gray levels,this algorithm needs totally 3 multiplications.Computation result is accurate.Compared with some known methods for gray level image,the new algorithm reduced computational complexity significantly.

     

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