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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 fi,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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