边缘梯度计算函数(2)

var addWeighted = function(__src1, __alpha, __src2, __beta, __gamma, __dst){
(__src1 && __src2) || error(arguments.callee, IS_UNDEFINED_OR_NULL/* {line} */);
var height = __src1.row,
width = __src1.col,
alpha = __alpha || 0,
beta = __beta || 0,
channel = __src1.channel,
gamma = __gamma || 0;
if(height !== __src2.row || width !== __src2.col || channel !== __src2.channel){
error(arguments.callee, "Src2 must be the same size and channel number as src1!"/* {line} */);
return null;
}

if(!__dst){
if(__src1.type.match(/CV\_\d+/))
dst = new Mat(height, width, __src1.depth(), channel);
else
dst = new Mat(height, width, __src1.depth());
}else{
dst = __dst;
}

var dData = dst.data,
s1Data = __src1.data,
s2Data = __src2.data;

var i;

for(i = height * width * channel; i--;)
dData[i] = __alpha * s1Data[i] + __beta * s2Data[i] + gamma;

return dst;
};

这个函数很简单，实际上只是对两个矩阵的对应元素按固定比例相加而已。 效果图

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