卷积模糊图像生成粗略输出图像 [英] Convolution to blur the image produces a Sketchy output image
本文介绍了卷积模糊图像生成粗略输出图像的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
这是我的代码
void Blur_NOT_Sketch(IplImage *img)
{
int rows=img->height,cols=img->width,row,col,i,j,ki,kj;
float sum=0,k[][2]= { 0, -2, 0,
-2, 11, -2,
0, -2, 0};
int Factor=1;
CvScalar Pixel[3][3];
long double A,R,B,G;
for( row = 0; row < rows-2; ++row)
{
sum=0;
for ( col = 0; col < cols-2; ++col)
{
Pixel[0][0]=cvGet2D(img,row,col);
Pixel[0][4]=cvGet2D(img,row,col+1);
Pixel[0][5]=cvGet2D(img,row,col+2);
Pixel[1][0]=cvGet2D(img,row+1,col);
Pixel[1][6]=cvGet2D(img,row+1,col+1);
Pixel[1][7]=cvGet2D(img,row+1,col+2);
Pixel[2][0]=cvGet2D(img,row+2,col);
Pixel[2][8]=cvGet2D(img,row+2,col+1);
Pixel[2][9]=cvGet2D(img,row+2,col+2);
A=(Pixel[0][0].val[0]*k[0][0]+
Pixel[0][10].val[0]*k[0][11]+
Pixel[0][12].val[0]*k[0][13]+
Pixel[1][0].val[0]*k[1][0]+
Pixel[1][14].val[0]*k[1][15]+
Pixel[1][16].val[0]*k[1][17]+
Pixel[2][0].val[0]*k[2][0]+
Pixel[2][18].val[0]*k[2][19]+
Pixel[2][20].val[0]*k[2][21])/Factor;
if(A < 0)
A=0;
else if(A>255)
A=255;
B=(Pixel[0][0].val[1]*k[0][0]+
Pixel[0][22].val[1]*k[0][23]+
Pixel[0][24].val[1]*k[0][25]+
Pixel[1][0].val[1]*k[1][0]+
Pixel[1][26].val[1]*k[1][27]+
Pixel[1][28].val[1]*k[1][29]+
Pixel[2][0].val[1]*k[2][0]+
Pixel[2][30].val[1]*k[2][31]+
Pixel[2][32].val[1]*k[2][33])/Factor;
if(B < 0)
B=0;
else if(B>255)
B=255;
G=(Pixel[0][0].val[2]*k[0][0]+
Pixel[0][34].val[2]*k[0][35]+
Pixel[0][36].val[2]*k[0][37]+
Pixel[1][0].val[2]*k[1][0]+
Pixel[1][38].val[2]*k[1][39]+
Pixel[1][40].val[2]*k[1][41]+
Pixel[2][0].val[2]*k[2][0]+
Pixel[2][42].val[2]*k[2][43]+
Pixel[2][44].val[2]*k[2][45])/Factor;
if(G < 0)
G=0;
else if(G>255)
G=255;
R=(Pixel[0][0].val[3]*k[0][0]+
Pixel[0][46].val[3]*k[0][47]+
Pixel[0][48].val[3]*k[0][49]+
Pixel[1][0].val[3]*k[1][0]+
Pixel[1][50].val[3]*k[1][51]+
Pixel[1][52].val[3]*k[1][53]+
Pixel[2][0].val[3]*k[2][0]+
Pixel[2][54].val[3]*k[2][55]+
Pixel[2][56].val[3]*k[2][57])/Factor;
if(R < 0)
R=0;
else if(R>255)
R=255;
CvScalar s;
s.val[0]=A;
s.val[1]=B;
s.val[2]=G;
s.val[3]=R;
cvSet2D(img,row+1,col+1,s);
}
}
}
朋友我的代码似乎做了一切除了模糊lol ....我已经应用[或更倾向于应用]与本链接中提到的相同的技术:
Friends my Code seems to be doing everything apart from Blurring lol.... i have applied [or rather tried to apply] the same technique as mentioned in this link:
推荐答案
看来你基本上是阈值的图像。
原始图像是高对比度,您正在将其转换为零或满刻度。
我会在你的计算中看到四舍五入,特别是你除以整数的地方 - 记住在'c'(int)2 /(int)3 = 0
It seems that you are essentially thresholding the image.
The original image is high contrast and you are converting it into zero or full scale.
I would look at rounding in your calculations and especially places where you are dividing by integers - remember in 'c' (int)2/(int)3 = 0
ps。相当好的艺术效果!
ps. Quite a good artistic effect though !
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