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  • 利用MATLAB将图片转换coe文件、TXT文件、mif文件利用MATLAB将图片转换coe文件利用MATLAB将图片转换txt文件利用MATLAB将图片转换mif文件总结 利用MATLAB将图片转换coe文件 首先,MATLAB是特别强大的数学...

    利用MATLAB将图片转换成coe文件

    首先,MATLAB是特别强大的数学工具,如果不会MATLAB那么自己的整个职业生涯只能写写接口逻辑,与算法再无关联,很难有长久的进步,所以这里我们将给出几个MATLAB的例子。
    我们为什么要将一幅图片转换成coe图片,因为在ISE软件中,我们可以发现ROM中预存的信息格式是coe文件,所以我们要想在ROM存储相应的信息,必须先把文件转换成coe文件。相信同学们也都明白该操作的意义,所以我们这里直接给出代码以供学习交流。

    // *********************************************************************************
    // Project Name : OSXXXX
    // Author       : zhangningning
    // Email        : nnzhang1996@foxmail.com
    // Website      : 
    // Module Name  : fig.coe
    // Create Time  : 2020-02-07 15:26:28
    // Editor       : sublime text3, tab size (4)
    // CopyRight(c) : All Rights Reserved
    //
    // *********************************************************************************
    // Modification History:
    // Date             By              Version                 Change Description
    // -----------------------------------------------------------------------
    // XXXX       zhangningning          1.0                        Original
    //  
    // *********************************************************************************
    
    clc;
    clear all;
    RGB=imread('logo.jpg');
    R=RGB(:,:,1);
    G=RGB(:,:,2);
    B=RGB(:,:,3);
    outdata=zeros(1,40000);
    for r = 1:200
    	for c = 1:200
    		outdata((r-1)*200+c)=bitand(R(r,c),224)+bitshift(bitand(G(r,c),224),-3)+bitshift(bitand(B(r,c),192),-6);
    	end
    end	
    fid=fopen('data.coe','w+');
    fprintf(fid,'memory_initialization_radix=16;\nmemory_initialization_vector=\n');
    for i = 1:39999
    	fprintf(fid,'%x,\n',outdata(i));
    end
    fprintf(fid,'%x;',outdata(40000));
    fclose(fid);
    		
    

    利用MATLAB将图片转换成txt文件

    这里也说明一下这样做的原因,例如我们要经过串口发送一幅图片数据时,我们不能直接用UE打开图片,然后将UE中的信息发送出去,因为学过图像处理的同学都应该知道,对于bmp真彩图,图片中含有文件头和信息头与图片信息,对于索引图像更是有索引表,对于常见的jpg压缩图像更使与图片信息没有直接关系。所以我们要利用MATLAB将图片信息提取到txt文件中。弄清楚了该过程的意义之后,我们给出转换的代码如下:

    // *********************************************************************************
    // Project Name : OSXXXX
    // Author       : zhangningning
    // Email        : nnzhang1996@foxmail.com
    // Website      : 
    // Module Name  : fig.txt
    // Create Time  : 2020-02-07 15:26:28
    // Editor       : sublime text3, tab size (4)
    // CopyRight(c) : All Rights Reserved
    //
    // *********************************************************************************
    // Modification History:
    // Date             By              Version                 Change Description
    // -----------------------------------------------------------------------
    // XXXX       zhangningning          1.0                        Original
    //  
    // *********************************************************************************
    
    clear all;          %清空所有变量
    clc;                %
    pic_data    = imread('./800x600a.jpg');    %R:8bit
    pic_red     = pic_data(:,:,1);
    pic_green   = pic_data(:,:,2);
    pic_blue    = pic_data(:,:,3);
    [ROW COL]   = size(pic_red);
    
    
    % 对原图进行处理,将处理完的图像数据写入abc.txt文件
    fid = fopen('./abcde800x600a.txt','w+');
    for r = 1: ROW
        for c = 1:COL
            %red取高3位,green取高3位,blue取高2位,拼成8% 串口,一帧数据:8bit,原始图像一个像素点占24bit
            pic_out(r,c) = bitand(pic_red(r,c), 224) + bitshift(bitand(pic_green(r,c),224),-3)+ bitshift(bitand(pic_blue(r,c),192),-6);    
            fprintf(fid,'%02x ',pic_out(r,c));
        end
    end
    fclose(fid);
    

    利用MATLAB将图片转换成mif文件

    intel FPGA中ROM文件中存储的时mif文件,与Xilinx中相同,想将图片信息存储到FPGA的ROM中,必须先将图片信息转存成mif文件,这里也不过说直接给出相应的代码供同学们理解:

    // *********************************************************************************
    // Project Name : OSXXXX
    // Author       : zhangningning
    // Email        : nnzhang1996@foxmail.com
    // Website      : 
    // Module Name  : fig.mif
    // Create Time  : 2020-02-07 15:26:28
    // Editor       : sublime text3, tab size (4)
    // CopyRight(c) : All Rights Reserved
    //
    // *********************************************************************************
    // Modification History:
    // Date             By              Version                 Change Description
    // -----------------------------------------------------------------------
    // XXXX       zhangningning          1.0                        Original
    //  
    // *********************************************************************************
    function miffile(filename,var,width,depth)
    if(nargin~=4) %% be tired to do more inupts check!
        error('Need 4 parameters! Use help miffile for help!');
    end, 
        
    fh=fopen(filename,'w+');
    fprintf(fh,'--Created by zhangningning.\r\n');
    fprintf(fh,'--nnzhang1996@foxmail.com.\r\n');
    fprintf(fh,'--%s.\r\n',datestr(now));
    fprintf(fh,'WIDTH=%d;\r\n',width);
    fprintf(fh,'DEPTH=%d;\r\n',depth);
    fprintf(fh,'ADDRESS_RADIX=HEX;\r\n');
    fprintf(fh,'DATA_RADIX=HEX;\r\n');
    fprintf(fh,'CONTENT BEGIN\r\n');
    
    var=rem(var,2^width);%% clip to fit the width;
    [sx,sy,sz]=size(var);%% can only fit 3D or less;
    value=var(1,1,1);
    sametotal=1;
    idepth=0;
    addrlen=1;
    temp=16;
    while(temp<depth) %%decide the length of addr
           temp=temp*16;
           addrlen=addrlen+1;
    end,
    datalen=1;
    while(temp<width) %%decide the length of data
           temp=temp*16;
           datalen=datalen+1;
    end,
    for k=1:sz,
        for j=1:sy,
            for i=1:sx,
                if(~((i==1 ) &&( j==1) &&( k==1)))
                   if(idepth<depth),
                      idepth=idepth+1;
                    if(value==var(i,j,k))
                        sametotal=sametotal+1;
                        continue;
                    else
                        
                            if(sametotal==1)
                               fprintf(fh,['\t%' num2str(addrlen) 'X:%' num2str(datalen) 'X;\r\n'],idepth-1,value);
                            else
                               fprintf(fh,['\t[%' num2str(addrlen) 'X..%' num2str(addrlen) 'X]:%' num2str(datalen) 'X;\r\n'],idepth-sametotal,idepth-1,value);
                            end,
                           sametotal=1;
                           value=var(i,j,k);
                    end,
                        else
                     break;
                    
                    end,
                end,
            end,
        end,
    end,
    if(idepth<depth)
                 if(sametotal==1)
                   fprintf(fh,['\t%' num2str(addrlen) 'X:%' num2str(datalen) 'X;\r\n'],idepth,value);
                  else
                     fprintf(fh,['\t[%' num2str(addrlen) 'X..%' num2str(addrlen) 'X]:%' num2str(datalen) 'X;\r\n'],idepth-sametotal+1,idepth,value);
                  end,
    end,
    if(idepth<depth-1)
        if(idepth==(depth-2))
            fprintf(fh,['\t%' num2str(addrlen) 'X:%' num2str(datalen) 'X;\r\n'],idepth+1,0);
        else
            fprintf(fh,['\t[%' num2str(addrlen) 'X..%' num2str(addrlen) 'X]:%' num2str(datalen) 'X;\r\n'],idepth+1,depth-1,0);
        end,
    end,
    
    fprintf(fh,'END;\r\n');                
    fclose(fh);
    
    

    这里为了不同从给出了一个通用性比较高的代码,当然也可以像写coe文件那样简单的写一个MATLAB文件。

    利用MATLAB将图片转换成bin文件‘

    为什么要将图片转换成bin文件,举一个实际的例子,在做USB传输数据的时候,cypress公司给出的上位机传输有以下特点:
    1、直接选择数据传输会传输多余的数据;
    2、图像转成TXT图像传输,会对TXT图像中的数据进行ASCII编码;
    所以我们要将图形数据转换成bin文件的数据,代码如下:

    // *********************************************************************************
    // Project Name : OSXXXX
    // Author       : zhangningning
    // Email        : nnzhang1996@foxmail.com
    // Website      : 
    // Module Name  : fig.bin
    // Create Time  : 2020-02-07 15:26:28
    // Editor       : sublime text3, tab size (4)
    // CopyRight(c) : All Rights Reserved
    //
    // *********************************************************************************
    // Modification History:
    // Date             By              Version                 Change Description
    // -----------------------------------------------------------------------
    // XXXX       zhangningning          1.0                        Original
    //  
    // *********************************************************************************
    
    clear all;          %清空所有变量
    clc;                %
    pic_data    = imread('./800x600a.jpg');    %R:8bit
    pic_red     = pic_data(:,:,1);
    pic_green   = pic_data(:,:,2);
    pic_blue    = pic_data(:,:,3);
    [ROW COL]   = size(pic_red);
    pic_out_h   = zeros(ROW COL);
    pic_out_l   = zeros(ROW COL);
    
    % 对原图进行处理,将处理完的图像数据写入abc.txt文件
    fid = fopen('./tuxiang.bin','w+');
    for r = 1: ROW
        for c = 1:COL
    		pic_out_h(r,c) = bitand(pic_red(r,c), 248) + bitshift(bitand(pic_green(r,c),224),-5);
    		fprintf(fid,'%02x ',pic_out_h(r,c));
    		pic_out_l(r,c) = bitshift(bitand(pic_green(r,c),28),3) + bitshift(bitand(pic_blue(r,c),248),-3)
    		fprintf(fid,'%02x ',pic_out_l(r,c));
        end
    end
    fclose(fid);
    

    总结

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    在这里插入图片描述

    展开全文
  • 可以在网上找一些在线转base64编码的网站进行尝试转换。 例如:http://imgbase64.duoshitong.com/然后通过前端展现和下载。 一、前端查看、下载功能实现 前端显示二进制流图片(src中放置base64码及二进制流) ...

    二进制流的主要编码格式是base64码。可以在网上找一些在线转base64编码的网站进行尝试转换。

    例如:http://imgbase64.duoshitong.com/然后通过前端展现和下载。

    一、前端查看、下载功能实现

    前端显示二进制流图片(src中放置base64码及二进制流)

    <img  src="http://dl.ppt123.net/pptbj/201603/2016030410235232.jpg" alt="">
    <img src="data:image/png;base64,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" alt="">

    前端下载二进制流文件(herf中放置base64码及二进制流,download后面放置下载后的文件名称,如果有需要可以拼接下载文件名)

    <a href="data:text/plain;base64,xOPV5suno6zV4srHvNm7sA==" download="6.txt">下载txt</a>
    <a 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" download="6.png">下载图片</a>

    后端只要实现对数据库表字段的增加和修改接口api就可以正常使用了。然后在使用查的接口进行对相关字段遍历赋予src、herf、download中。就可以正常实现查看和下载了。

    二、前端将文件转换成二进制流

    主要代码是与input的file属性连用。将文件转为base64码。

    <html>
    <head></head>
    <body>
    <input id="fujian" type="file"/>
    </body>
    <script>
    
    	$("#fujian").change(function(){
    	var reader = new FileReader();
            var AllowImgFileSize = 2100000; //上传图片最大值(单位字节)( 2 M = 2097152 B )超过2M上传失败
            var file = $("#fujian")[0].files[0];
            var imgUrlBase64;
            if (file) {
                //将文件以Data URL形式读入页面  
                imgUrlBase64 = reader.readAsDataURL(file);
                console.log(imgUrlBase64);
    
                reader.onload = function (e) {
                  //var ImgFileSize = reader.result.substring(reader.result.indexOf(",") + 1).length;//截取base64码部分(可选可不选,需要与后台沟通)
                  if (AllowImgFileSize != 0 && AllowImgFileSize < reader.result.length) {
                        alert( '上传失败,请上传不大于2M的图片!');
                        return;
                    }else{
                        //执行上传操作
                        console.log(reader.result);
                    }
                }
             }          
    
    
    })
    </script>

    前端直接调用接口,将reader.result参数放置到数据库所对应的字段。

    后端设计数据库时,对字段需要设计。mysq:longtext、longblob类型。sqlsever:text 类型

    因为二进制流字节较长,需要能够存储相关内容。

    展开全文
  • 怎样把扫描的图片做成PDF文件

    万次阅读 2016-08-10 11:30:46
    扫描一些文档文件后会形成很多图片图片太多在保存后也不便于管理,所以一般会这些图片转换成一个pdf格式的文档。那怎么把扫描的图片pdf文件呢?  如果图片是按照顺序命名的,就不用进行整理了,如果扫描的...

      扫描一些文档文件后会形成很多图片,图片太多在保存后也不便于管理,所以一般会将这些图片转换成一个pdf格式的文档。那怎么把扫描的图片转成pdf文件呢?
      如果图片是按照顺序命名的,就不用进行整理了,如果扫描的图片没有按顺序进行命名那首先要做的就是整理这些图片,按顺序为图片命名。然后将需要转为一个pdf文件的图片都放在同一个文件夹中。
      比较直接的方法,使用转换工具直接将图片合成一个pdf文件。
      先打开转换工具,选择“图片转PDF”。
      点添加文件或者添加文件夹,将整理好的图片按顺序放到转换工具的空白列表中。在下方是否合成为一个pdf选项中选择“是”。
      设置“输出目录”,也就是选择文件保存位置,然后点转换按钮开始进行转换,等所有图片状态显示转换完成,就能得到转换好的PDF文件了。
      最后用编辑工具打开该pdf文件,将pdf页面大小设置成与图片尺寸相对应即可。
      另外一个比较常用的方法,就是通过word来操作。
      首先新建一个word文档,然后把图片放到word文档中,设置好页面大小和排版样式。最后将文档另存为一个pdf文件就可以了。

    原文阅读:怎么把扫描图片转换成

    展开全文
  • 怎样将图片制作转换PDF文件

    千次阅读 2016-08-04 11:35:38
    一般的文档格式转换都是将一些office文档格式与pdf文件互相转换,但有时候除了office文档,有时候也会需要将一些图片放到一起合成一个pdf文件,那么将图片转换pdf是如何转换的呢?  要将图片合成pdf文件,首先要...
     
    
      一般的文档格式转换都是将一些office文档格式与pdf文件互相转换,但有时候除了office文档,有时候也会需要将一些图片放到一起合成一个pdf文件,那么将图片转换成pdf是如何转换的呢?
      要将图片合成pdf文件,首先要做的都是整理好每个图片对应的页面顺序,这只需将每个文件按照页面顺序进行命名就可以了。
      打开转换器,点击展开“其他文件转换成PDF”这个类别,然后选择“图片转PDF”。
      然后将整理好的图片,按顺序添加到转换工具的的操作列表中,只要添加的图片顺序与对应的编号顺序相同就可以了。
      最后在开始转换前,需要特别注意的是,看下方的选项是否是将所以图片合成为一个PDF文件,如果选择的是“否”,那么每个图片将会单独转为一个pdf文件。
      最后就是点击开始转换,等所有图片的状态都显示处理完成后就可以得到转换好的PDF文件了。
    类似的还有在线jpg转换成pdf,但是一般处理较多的图片还是用工具转换的比较好。
      还有一种比较常用的方法就是先将图片按照顺序放到word中,排版好,然后根据图片的尺寸设置好页面的大小。在word中都编辑好之后,直接将文件另存为pdf格式就可以了。
    展开全文
  • 我在最近进行Android项目开发的时候,遇到了头像的问题,个人头像一般是正方形,这是需要变成圆形,这是一个比较简单的方法。 写以自用。 新建一个工具类BitmapToRound_Util.java /** * bitmap处理为圆形 * ...
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    实例; 1、atlassian-jira-confluence-bitbucket破解 如何制作: 1、如何把压缩文件变成图片
  • python 图片转换py文件

    千次阅读 2019-01-10 23:40:47
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  • 在开发中,自己遇到一个前端在上传图片的时候,使用的base64数据流文件显示的图片。 也就是说 1 &lt;img src="data:image/jpg;base64," /&gt; ***image/后面的jpg是我们...
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