1、原理
sobel算子是一个离散的一阶差分算子，广泛应用于边缘检测等领域。算法的 应用原理比较简单，可以完成对水平方向和垂直方向的边缘检测。分别用图中的两个卷积模板对图像进行滑动窗口的卷积计算，将卷积模板和图像3*3窗口对应的数据相乘，相乘的结果相加得到和，通过计算的得到G，再通过阈值比较得到二值图像。有时为了提高计算效率，通过来近似得到G，本文采用开方的方法计算。
2、实现过程
图像加边界和取3*3矩阵的操作和中值滤波和均值滤波算法一样，请参考之前发布的文章。在计算Gx和Gy的时候，对正值部分和负值部分分开计算，因为最后要进行乘方计算，所以可以不考虑正负号，直接将两部分的差值乘方就可以了。乘方操作调用viviado中乘法器的IP核完成，开方操作调用vivado中cordic IP核中Square Root完成。将开方后的数据与设定好的阈值进行比较，生成二值化图像。在最后数据输出对齐部分，在代码注释中给了详细的解释。
3、IP核配置
乘法器IP核
开方运算IP核
4、代码
sobel模块
module sobel(
input clk,
input rst_n,
input per_frame_vsync,
input per_frame_href,
input per_frame_clken,
input [7:0] per_img_Y,
input [7:0] threshold,
output post_frame_vsync,
output post_frame_href,
output post_frame_clken,
output [7:0] post_img_data
);
parameter [10:0] delay=11'd1310;
wire matrix_frame_clken;
wire matrix_frame_href;
wire matrix_frame_vsync;
wire [7:0] matrix_p11;
wire [7:0] matrix_p12;
wire [7:0] matrix_p13;
wire [7:0] matrix_p21;
wire [7:0] matrix_p22;
wire [7:0] matrix_p23;
wire [7:0] matrix_p31;
wire [7:0] matrix_p32;
wire [7:0] matrix_p33;
reg [9:0] col_cnt;
reg [10:0] sum0_gx;
reg [10:0] sum1_gx;
reg [10:0] sum0_gy;
reg [10:0] sum1_gy;
wire [10:0] sobel_gx;
wire [10:0] sobel_gy;
wire [21:0] sobel_gx_2;
wire [21:0] sobel_gy_2;
wire [23:0] sobel_g;
wire [15:0] sobel_sq;
wire [7:0] sobel_out;
generate_3_3 #(delay) u(
.clk(clk),
.rst_n(rst_n),
.per_frame_vsync(per_frame_vsync),
.per_frame_href(per_frame_href),
.per_frame_clken(per_frame_clken),
.per_img_Y(per_img_Y),
.matrix_frame_vsync ( matrix_frame_vsync ),
.matrix_frame_href ( matrix_frame_href ),
.matrix_frame_clken ( matrix_frame_clken ),
.matrix_p11 ( matrix_p11 ),
.matrix_p12 ( matrix_p12 ),
.matrix_p13 ( matrix_p13 ),
.matrix_p21 ( matrix_p21 ),
.matrix_p22 ( matrix_p22 ),
.matrix_p23 ( matrix_p23 ),
.matrix_p31 ( matrix_p31 ),
.matrix_p32 ( matrix_p32 ),
.matrix_p33 ( matrix_p33 )
);
//列计数
always @(negedge matrix_frame_clken or negedge rst_n) begin
if(!rst_n)
col_cnt<=10'd0;
else begin
if(col_cnt==640)
col_cnt<=10'd1;
else
col_cnt<=col_cnt+1;
end
end
//计算gx，gy，同时通过列计数器完成在图像左右两侧的补边界
always @(posedge clk or negedge rst_n) begin
if(!rst_n) begin
sum0_gx<=10'd0;
sum1_gx<=10'd0;
sum0_gy<=10'd0;
sum1_gy<=10'd0;
end
else if(col_cnt==10'd1) begin
sum1_gx<=matrix_p12+(matrix_p22<<1)+matrix_p32;
sum0_gx<=matrix_p13+(matrix_p23<<1)+matrix_p33;
sum0_gy<=matrix_p12+(matrix_p12<<1)+matrix_p13;
sum1_gy<=matrix_p32+(matrix_p32<<1)+matrix_p33;
end
else if(col_cnt==10'd640) begin
sum1_gx<=matrix_p12+(matrix_p22<<1)+matrix_p32;
sum0_gx<=matrix_p13+(matrix_p23<<1)+matrix_p33;
sum0_gy<=matrix_p12+(matrix_p13<<1)+matrix_p13;
sum1_gy<=matrix_p32+(matrix_p33<<1)+matrix_p33;
end
else begin
sum1_gx<=matrix_p11+(matrix_p21<<1)+matrix_p31;
sum0_gx<=matrix_p13+(matrix_p23<<1)+matrix_p33;
sum0_gy<=matrix_p11+(matrix_p12<<1)+matrix_p13;
sum1_gy<=matrix_p31+(matrix_p32<<1)+matrix_p33;
end
end
assign sobel_gx = (sum0_gx>=sum1_gx)?(sum0_gx-sum1_gx):(sum1_gx-sum0_gx);
assign sobel_gy = (sum0_gy>=sum1_gy)?(sum0_gy-sum1_gy):(sum1_gy-sum0_gy);
mult_gen_0 m1 (
.CLK(clk), // input wire CLK
.A(sobel_gx), // input wire [8 : 0] A
.B(sobel_gx), // input wire [8 : 0] B
.P(sobel_gx_2) // output wire [17 : 0] P
);
mult_gen_0 m2 (
.CLK(clk), // input wire CLK
.A(sobel_gy), // input wire [8 : 0] A
.B(sobel_gy), // input wire [8 : 0] B
.P(sobel_gy_2) // output wire [17 : 0] P
);
assign sobel_g=sobel_gx_2+sobel_gy_2;
cordic_0 c1 (
.aclk(clk), // input wire aclk
.s_axis_cartesian_tvalid(matrix_frame_href), // input wire s_axis_cartesian_tvalid
.s_axis_cartesian_tdata(sobel_g), // input wire [23 : 0] s_axis_cartesian_tdata
.m_axis_dout_tvalid(), // output wire m_axis_dout_tvalid
.m_axis_dout_tdata(sobel_sq) // output wire [15 : 0] m_axis_dout_tdata
);
assign sobel_out=(sobel_sq>threshold)?255:0;
//延时8个像素时钟周期（16个系统时钟周期），因为对3*3矩阵内的数进行计算时，当每一行第二个像素送入时，我们计算的结果替代的是第一个像素的值
//所以输出的像素时钟比3*3矩阵输入的像素时钟延迟一个像素时钟周期（2个系统时钟周期），计算sum0_gx、sum1_gx、sum0_gy、sum1_gy时延迟了一个系统时钟周期，用乘法器IP核计算sobel_gx_2、sobel_gy_2（乘方）又延时了一个系统时钟周期
//用开方IP核计算开方结果时延时12个系统时钟周期，最后总共延时8个像素时钟周期（16个系统时钟周期），完成数据对齐
reg [15:0] post_frame_clken_dy;
reg [15:0] post_frame_href_dy;
reg [15:0] post_frame_vsync_dy;
always @(posedge clk or negedge rst_n) begin
if(!rst_n) begin
post_frame_clken_dy<=16'd0;
post_frame_href_dy<=16'd0;
post_frame_vsync_dy<=16'd0;
end
else begin
post_frame_clken_dy<={post_frame_clken_dy[14:0],matrix_frame_clken};
post_frame_href_dy<={post_frame_href_dy[14:0],matrix_frame_href};
post_frame_vsync_dy<={post_frame_vsync_dy[14:0],matrix_frame_vsync};
end
end
assign post_frame_clken=post_frame_clken_dy[15];
assign post_frame_href=post_frame_href_dy[15];
assign post_frame_vsync=post_frame_vsync_dy[15];
assign post_img_data=post_frame_href?sobel_out:0;
endmodule
3*3矩阵生成模块
module generate_3_3(
input clk, //cmos video pixel clock
input rst_n, //global reset
//Image data prepred to be processd
input per_frame_vsync, //Prepared Image data vsync valid signal
input per_frame_href, //Prepared Image data href vaild signal
input per_frame_clken, //Prepared Image data output/capture enable clock
input [7:0] per_img_Y, //Prepared Image brightness input
//Image data has been processd
output matrix_frame_vsync, //Prepared Image data vsync valid signal
output matrix_frame_href, //Prepared Image data href vaild signal
output matrix_frame_clken, //Prepared Image data output/capture enable clock
output reg [7:0] matrix_p11, matrix_p12, matrix_p13,
output reg [7:0] matrix_p21, matrix_p22, matrix_p23,
output reg [7:0] matrix_p31, matrix_p32, matrix_p33
);
parameter [10:0] delay=11'd1310;
wire [7:0] row1_data;
wire [7:0] row2_data;
wire [7:0] row3_data;
wire [7:0] row1_data1;
wire [7:0] row2_data1;
wire row2_rd_en;
wire row1_rd_en;
wire row2_wr_en;
wire row1_wr_en;
wire [9:0] data_count1,data_count2;
reg [8:0] row_cnt;
reg per_frame_href_delay;
wire [7:0] fifo_in;
reg [delay-1:0] per_frame_href_dl;
reg [delay-1:0] per_frame_clken_dl;
reg [delay-1:0] per_frame_vsync_dl;
wire per_frame_href_;
wire per_frame_clken_;
wire per_frame_vsync_;
assign row2_rd_en=(per_frame_clken||per_frame_clken_)&&(data_count2==10'd640);
assign row1_rd_en=(per_frame_clken||per_frame_clken_)&&(data_count1==10'd640);
assign row2_wr_en=(per_frame_clken||per_frame_clken_);
assign row1_wr_en=(per_frame_clken||per_frame_clken_)&&(data_count2==10'd640);
assign row3_data=(per_frame_href_==1&&per_frame_href==0)?row2_data:per_img_Y; //在图像后面延时了一行行有效信号，在这一行把row2_data复制，实现在图像下方通过复制补边界的操作
assign row1_data=(row_cnt==1||row_cnt==0)?row2_data1:row1_data1; //在行计数等于1之前，将row2_data1的值给row1_data，实现在图像上方通过复制补一行边界
assign row2_data=row2_data1;
assign fifo_in=(row_cnt==480)?0:per_img_Y; //在图像最后一行的后面再向fifo中送入一行0，使fifo多工作一行，以便在图像的下方补一行边界
fifo_generator_0 u2 (
.clk(clk), // input wire clk
.srst(!rst_n), // input wire srst
.din(fifo_in), // input wire [7 : 0] din
.wr_en(row2_wr_en), // input wire wr_en
.rd_en(row2_rd_en), // input wire rd_en
.dout(row2_data1), // output wire [7 : 0] dout
.full(), // output wire full
.empty(), // output wire empty
.data_count(data_count2) // output wire [9 : 0] data_count
);
fifo_generator_0 u1 (
.clk(clk), // input wire clk
.srst(!rst_n), // input wire srst
.din(row2_data1), // input wire [7 : 0] din
.wr_en(row1_wr_en), // input wire wr_en
.rd_en(row1_rd_en), // input wire rd_en
.dout(row1_data1), // output wire [7 : 0] dout
.full(), // output wire full
.empty(), // output wire empty
.data_count(data_count1) // output wire [9 : 0] data_count
);
wire read_frame_href ;
wire read_frame_clken;
reg [1:0] per_frame_vsync_r;
reg [1:0] per_frame_href_r;
reg [1:0] per_frame_clken_r;
assign read_frame_href = per_frame_href_r[0] ;
assign read_frame_clken = per_frame_clken_r[0];
assign matrix_frame_vsync = per_frame_vsync_r[1];
assign matrix_frame_href = per_frame_href_r[1] ;
assign matrix_frame_clken = per_frame_clken_r[1];
//delay 2 clk
always@(posedge clk or negedge rst_n) begin
if(!rst_n) begin
per_frame_vsync_r <= 0;
per_frame_href_r <= 0;
per_frame_clken_r <= 0;
end
else begin
per_frame_vsync_r <= { per_frame_vsync_r[0], per_frame_vsync_ };
per_frame_href_r <= { per_frame_href_r[0], per_frame_href_ };
per_frame_clken_r <= { per_frame_clken_r[0], per_frame_clken_ };
end
end
always @(posedge clk or negedge rst_n) begin
if(~rst_n)begin
per_frame_href_dl<=0;
per_frame_clken_dl<=0;
per_frame_vsync_dl<=0;
end
else begin
per_frame_href_dl<={per_frame_href_dl[delay-2:0],per_frame_href};
per_frame_clken_dl<={per_frame_clken_dl[delay-2:0],per_frame_clken};
per_frame_vsync_dl<={per_frame_vsync_dl[delay-2:0],per_frame_vsync};
end
end
assign per_frame_href_=per_frame_href_dl[delay-1];
assign per_frame_clken_=per_frame_clken_dl[delay-1];
assign per_frame_vsync_=per_frame_vsync_dl[delay-1];
always @(posedge clk) begin
per_frame_href_delay<=per_frame_href_;
end
//行计数
always @(posedge clk or negedge rst_n) begin
if(!rst_n||~per_frame_vsync_)
row_cnt<=9'd0;
else if(~per_frame_href_delay&per_frame_href_) begin
if(row_cnt==9'd480)
row_cnt<=9'd1;
else
row_cnt<=row_cnt+1;
end
else
row_cnt<=row_cnt;
end
//generate the 3X3 matrix
always@(posedge clk or negedge rst_n) begin
if(!rst_n) begin
{matrix_p11, matrix_p12, matrix_p13} <= 24'h0;
{matrix_p21, matrix_p22, matrix_p23} <= 24'h0;
{matrix_p31, matrix_p32, matrix_p33} <= 24'h0;
end
else if(per_frame_href_||read_frame_href) begin
if(per_frame_clken_) begin
{matrix_p11, matrix_p12, matrix_p13} <= {matrix_p12, matrix_p13, row1_data};
{matrix_p21, matrix_p22, matrix_p23} <= {matrix_p22, matrix_p23, row2_data};
{matrix_p31, matrix_p32, matrix_p33} <= {matrix_p32, matrix_p33, row3_data};
end
else begin
{matrix_p11, matrix_p12, matrix_p13} <= {matrix_p11, matrix_p12, matrix_p13};
{matrix_p21, matrix_p22, matrix_p23} <= {matrix_p21, matrix_p22, matrix_p23};
{matrix_p31, matrix_p32, matrix_p33} <= {matrix_p31, matrix_p32, matrix_p33};
end
end
else begin
{matrix_p11, matrix_p12, matrix_p13} <= {matrix_p11, matrix_p12, matrix_p13};
{matrix_p21, matrix_p22, matrix_p23} <= {matrix_p21, matrix_p22, matrix_p23};
{matrix_p31, matrix_p32, matrix_p33} <= {matrix_p31, matrix_p32, matrix_p33};
end
end
endmodule
5、结果图
文章来源
您阅读本篇文章共花了：
发表评论