基于web的android图像处理示例(Win7+Apache+PHP+Matlab+Android)

本文将介绍C/S模式的图像处理系统。C/S的框架已经在[1]中作了简单的介绍。[2]中介绍了如何搭建基于android和WAMP5的B/S模式的本机测试平台。本系统是在[4]中介绍的基础上开发的，有关图像显示和本地图像处理的框架可以参看[4];
@author:郑海波 zhb931706659@126.com

转载请声明：http://blog.csdn.net/nuptboyzhb/article/details/7945249

实验结果展示：（图像的DCT变换）

实验平台：
服务器：Windows 7+Apache+MySQL+PHP
客户端：Android
开发工具：Eclipse+ADT+AVD
我们先看客户端(Client)的android开发
1.图像处理框架：
本次试验的图像处理框架我们依然使用[4]的实验平台。该实验平台已经实现了图像的打开，保存，摄像，截屏，显示和简单的图像处理算法等功能。
我们本次试验，需要用到该框架的图像打开，显示，保存等基本功能。
2.客户端的核心
在客户端，C/S模式的核心就是如何将本机数据发送到服务器，并从服务器中下载处理完后的数据。由于连接服务器，发送，接收等需要较长时间，因此
我们将其过程封装到一个AsyncTask派生的类中，代码如下：
[java code]

public class ServerTask  extends AsyncTask<String, Integer , Void>{public byte[] dataToServer;//Task stateprivate final int UPLOADING_PHOTO_STATE  = 0;private final int SERVER_PROC_STATE  = 1;private ProgressDialog dialog;//upload photo to serverHttpURLConnection uploadPhoto(FileInputStream fileInputStream){//final String serverFileName = "test"+ (int) Math.round(Math.random()*1000) + ".jpg";final String serverFileName = "test.jpg";final String lineEnd = "\r\n";final String twoHyphens = "--";final String boundary = "*****";Log.e("msg","begin HttpURLConnection......");try{URL url = new URL(SERVERURL);// Open a HTTP connection to the URLfinal HttpURLConnection conn = (HttpURLConnection)url.openConnection();// Allow Inputsconn.setDoInput(true);// Allow Outputsconn.setDoOutput(true);// Don't use a cached copy.conn.setUseCaches(false);// Use a post method.conn.setRequestMethod("POST");conn.setRequestProperty("Connection", "Keep-Alive");conn.setRequestProperty("Content-Type", "multipart/form-data;boundary="+boundary);DataOutputStream dos = new DataOutputStream( conn.getOutputStream() );dos.writeBytes(twoHyphens + boundary + lineEnd);dos.writeBytes("Content-Disposition: form-data; name=\"uploadedfile\";filename=\"" + serverFileName +"\"" + lineEnd);dos.writeBytes(lineEnd);// create a buffer of maximum sizeint bytesAvailable = fileInputStream.available();int maxBufferSize = 1024;int bufferSize = Math.min(bytesAvailable, maxBufferSize);byte[] buffer = new byte[bufferSize];// read file and write it into form...int bytesRead = fileInputStream.read(buffer, 0, bufferSize);while (bytesRead > 0){dos.write(buffer, 0, bufferSize);bytesAvailable = fileInputStream.available();bufferSize = Math.min(bytesAvailable, maxBufferSize);bytesRead = fileInputStream.read(buffer, 0, bufferSize);}// send multipart form data after file data...dos.writeBytes(lineEnd);dos.writeBytes(twoHyphens + boundary + twoHyphens + lineEnd);publishProgress(SERVER_PROC_STATE);// close streamsfileInputStream.close();dos.flush();Log.e("msg","upload finished!");return conn;}catch (MalformedURLException ex){Log.e(TAG, "error: " + ex.getMessage(), ex);return null;}catch (IOException ioe){Log.e(TAG, "error: " + ioe.getMessage(), ioe);return null;}}    //get image result from server and display it in result viewvoid getResultImage(HttpURLConnection conn){// retrieve the response from serverInputStream is;try {is = conn.getInputStream();//get result image from server        resultForWebImage = BitmapFactory.decodeStream(is);        is.close();                IsShowingResult = true;        Log.d("msg","download finished!");} catch (IOException e) {Log.e(TAG,"getResultImage:"+e.toString());e.printStackTrace();}}//Main code for processing image algorithm on the servervoid processImage(String inputImageFilePath){publishProgress(UPLOADING_PHOTO_STATE);File inputFile = new File(inputImageFilePath);try {//create file stream for captured image fileFileInputStream fileInputStream  = new FileInputStream(inputFile);    //upload photo    final HttpURLConnection  conn = uploadPhoto(fileInputStream);        //get processed photo from server    if (conn != null){      getResultImage(conn);    //String download="http://10.10.145.154/EE368_Android_Tutorial3_Server/computeSIFTOnSCIEN.php";        }fileInputStream.close();}        catch (FileNotFoundException ex){        Log.e(TAG, "processImage"+ex.toString());        }        catch (IOException ex){        Log.e(TAG, "processImage"+ex.toString());        }}    public ServerTask() {        dialog = new ProgressDialog(SystemMain.this);    }    protected void onPreExecute() {        this.dialog.setMessage("Photo captured");        this.dialog.show();    }@Overrideprotected Void doInBackground(String... params) {//background operation String uploadFilePath = params[0];processImage(uploadFilePath);//release camera when previous image is processedmCameraReadyFlag = true; return null;}//progress update, display dialogs@Override     protected void onProgressUpdate(Integer... progress) {     if(progress[0] == UPLOADING_PHOTO_STATE){     dialog.setMessage("Uploading");     dialog.show();     }     else if (progress[0] == SERVER_PROC_STATE){           if (dialog.isShowing()) {               dialog.dismiss();           }          dialog.setMessage("Processing");     dialog.show();     }              }       @Override       protected void onPostExecute(Void param) {           if (dialog.isShowing()) {               dialog.dismiss();                              if(IsShowingResult){               ShowImage(resultForWebImage, 2);               IsShowingResult=false;               }           }       }}

此时，我们只需要在适当的时候，启动这个任务。当用户点击send按钮时，启动服务：
[java code]

sendBtnListener=new OnClickListener() {@Overridepublic void onClick(View v) {// TODO Auto-generated method stub                if(myBitmap!=null){mClientForWeb.compressByteImage(myBitmap, 75);;ServerTask task = new ServerTask();  Log.e("msg","new ServerTask finished!");  task.execute(Environment.getExternalStorageDirectory().toString() +mClientForWeb.INPUT_IMG_FILENAME);}}};

服务器端的PHP代码和matlab代码
1.服务器端的执行流程
首先，PHP获取到客户端发送过来的数据，然后在PHP中调用matlab代码对数据进行处理。PHP将处理后的结果再发回给客户端
2.本次试验
本次试验我们将实现图像的DCT变换。也即是：对客户端发送的图像做DCT变换，然后将变换后的图像发回给客户端。
如下图：
[图]

3.matlab的执行方式
我们用命令行的方式执行matlab代码，参见[3]。在PHP中，我们只需要用exec函数调用相应的指令即可。
4.PHP代码
[php code]

<?php#-------------------------------------------------------------------------------# EE368 Digital Image Processing# Android Tutorial #3: Server-Client Interaction Example for Image Processing# Author: Derek Pang (dcypang@stanford.edu), David Chen (dmchen@stanford.edu)#------------------------------------------------------------------------------#function for streaming file to clientfunction streamFile($location, $filename, $mimeType='application/octet-stream'){ if(!file_exists($location))  { header ("HTTP/1.0 404 Not Found");    return;  }    $size=filesize($location);  $time=date('r',filemtime($location));  #html response header  header('Content-Description: File Transfer');  header("Content-Type: $mimeType");   header('Cache-Control: public, must-revalidate, max-age=0');  header('Pragma: no-cache');    header('Accept-Ranges: bytes');  header('Content-Length:'.($size));  header("Content-Disposition: inline; filename=$filename");  header("Content-Transfer-Encoding: binary\n");  header("Last-Modified: $time");  header('Connection: close');        ob_clean();  flush();  readfile($location);}#**********************************************************#Main script#**********************************************************#<1>set target path for storing photo uploads on the server$photo_upload_path = "./upload/";$photo_upload_path = $photo_upload_path. basename( $_FILES['uploadedfile']['name']); #<2>set target path for storing result on the server$processed_photo_output_path = "./output/processed_";$processed_photo_output_path = $processed_photo_output_path. basename( $_FILES['uploadedfile']['name']); $downloadFileName = 'processed_' . basename( $_FILES['uploadedfile']['name']); #<3>modify maximum allowable file size to 10MB and timeout to 300sini_set('upload_max_filesize', '10M');  ini_set('post_max_size', '10M');  ini_set('max_input_time', 300);  ini_set('max_execution_time', 300);  #<4>Get and stored uploaded photos on the serverif(copy($_FILES['uploadedfile']['tmp_name'], $photo_upload_path)) {#<5> execute matlab image processing algorithm#example: Compute and display SIFT features using VLFeat and Matlab$command = "matlab -nojvm -nodesktop -nodisplay -r \"ImageDCT('$photo_upload_path','$processed_photo_output_path');exit\"";exec($command);#<6>stream processed photo to the clientstreamFile($processed_photo_output_path, $downloadFileName,"application/octet-stream");} else{    echo "There was an error uploading the file to $photo_upload_path !";}?>

5.Matlab代码(实现DCT变换)
[matlab code]

function ImageDCT(input_img_path, output_img_path)%-----------------------------------------------------------------------------% @Author: ZhengHaibo zhb931706659@126.com% Android Tutorial : Server-Client Communication%------------------------------------------------------------------------------% INPUT:% input_img_path - input image path% output_img_path - output image path%------------------------------------------------------------------------------tic;if nargin < 2    input_img_path =('./upload/test.jpg');    output_img_path =('./output/test.jpg');endif(isempty(input_img_path))    input_img_path =('./upload/test.jpg');endif(isempty(output_img_path))    output_img_path =('./output/test.jpg');end% --------------------------------------------------------------------%                                                        Load an image% --------------------------------------------------------------------InputImg = imread(input_img_path);GrayInputImg=rgb2gray(InputImg);DCT_Result=dct2(GrayInputImg)*4;imwrite(uint8(DCT_Result), output_img_path,'Quality',100);tocend

实验结果展示：
[图]

Reference:
[1]PHP学习之初：基本语法 http://blog.csdn.net/nuptboyzhb/article/details/7912483
[2]基于android和WAMP5的B/S模式的本机测试平台（android+web） http://blog.csdn.net/nuptboyzhb/article/details/7932234
[3]命令行方式执行matlab代码 :http://blog.csdn.net/nuptboyzhb/article/details/7943910
[4]Android图像处理系统1.4图像的锐化-边缘检测 :http://blog.csdn.net/nuptboyzhb/article/details/7926735
[5]斯坦福大学EE368实验室：http://www.stanford.edu/class/ee368/index.html

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