android sax解析XML结点超长(大于1024)字符串取不全解决方法。

将string改为stringbuffer接收数据。

 

import java.io.StringReader;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import javax.xml.parsers.SAXParserFactory;

import org.xml.sax.Attributes;
import org.xml.sax.InputSource;
import org.xml.sax.SAXException;
import org.xml.sax.XMLReader;
import org.xml.sax.helpers.DefaultHandler;

import android.content.res.XmlResourceParser;

public class SAXParserXML {
 private StringBuffer currentValue = new StringBuffer();
 private Map<String,Object> map=new HashMap<String,Object>();

 public void parserXML(String secretInfo){
  
  try{
   SAXParserFactory factory=SAXParserFactory.newInstance();
   XMLReader reader=factory.newSAXParser().getXMLReader();
   reader.setContentHandler(new parserXMLClass());
   reader.parse(new InputSource(new StringReader(secretInfo)));
  }catch(Exception ex){
   ex.printStackTrace();
  }
 }
 class parserXMLClass extends DefaultHandler{

  @Override
  public void characters(char[] ch, int start, int length)
    throws SAXException {
    currentValue.append(ch, start, length);
  }

  @Override
  public void endDocument() throws SAXException {
    System.out.println("***endDocument***");
    
  }

  @Override
  public void startDocument() throws SAXException {
   currentValue.delete(0, currentValue.length());
   System.out.println("***startDocument***");
  }

  @Override
  public void endElement(String uri, String localName, String qName)
    throws SAXException {
    map.put(qName, currentValue.toString()); 
  }

  @Override
  public void startElement(String uri, String localName, String qName,
    Attributes attributes) throws SAXException {
   if(localName.equals("infomode")){
    for(int i=0;i<attributes.getLength();i++)
    map.put(attributes.getLocalName(i), attributes.getValue(i));
   }
  }
  
 }
 public Map<String, Object> getMap() {
  System.out.println("解析的数据是:"+map);
  return map;
 }
 public void setMap(Map<String, Object> map) {
  this.map = map;
 }

}

以下是彩色图像的PSNRSSIMLPIPS和CIEDE2000评价算法的Matlab源码示例: 1. PSNR(峰值信噪比): ```matlab function psnr_value = PSNR(original, distorted) [M, N, ~] = size(original); mse = sum((original(:) - distorted(:)).^2) / (M * N * 3); max_value = max(original(:)); psnr_value = 10 * log10(max_value^2 / mse); end ``` 2. SSIM(结构相似性指数): ```matlab function ssim_value = SSIM(original, distorted) K1 = 0.01; K2 = 0.03; L = 255; C1 = (K1 * L)^2; C2 = (K2 * L)^2; original = double(original); distorted = double(distorted); mean_original = filter2(fspecial('gaussian', 11, 1.5), original, 'valid'); mean_distorted = filter2(fspecial('gaussian', 11, 1.5), distorted, 'valid'); var_original = filter2(fspecial('gaussian', 11, 1.5), original.^2, 'valid') - mean_original.^2; var_distorted = filter2(fspecial('gaussian', 11, 1.5), distorted.^2, 'valid') - mean_distorted.^2; cov_original_distorted = filter2(fspecial('gaussian', 11, 1.5), original .* distorted, 'valid') - mean_original .* mean_distorted; ssim_map = ((2 * mean_original .* mean_distorted + C1) .* (2 * cov_original_distorted + C2)) ./ ((mean_original.^2 + mean_distorted.^2 + C1) .* (var_original + var_distorted + C2)); ssim_value = mean2(ssim_map); end ``` 3. LPIPS(感知相似性指标):需要下载并使用LPIPS库,源码和使用说明可在https://github.com/richzhang/PerceptualSimilarity 找到。 4. CIEDE2000(CIE 2000色差公式):需要下载并使用CIEDE2000库,源码和使用说明可在https://www.mathworks.com/matlabcentral/fileexchange/46861-color-difference-cie-de2000 找到。 以上是基本的示例代码,用于评估图像质量的不同评价指标。你可以根据实际需求和图像数据进行适当的调整和修改。
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