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【Java】定义一个“点”类用来表示三维空间中的点

本文主要介绍关于的知识点,对【java改变图片某个坐标点的颜色,并返回给前台显示】和【【Java】定义一个“点”类用来表示三维空间中的点】有兴趣的朋友可以看下由【诺丽果】投稿的技术文章,希望该技术和

本文主要介绍关于的知识点,对【java 改变图片某个坐标点的颜色,并返回给前台显示】和【【Java】定义一个“点”类用来表示三维空间中的点】有兴趣的朋友可以看下由【诺丽果】投稿的技术文章,希望该技术和经验能帮到你解决你所遇的【】相关技术问题。

【Java】定义一个“点”类用来表示三维空间中的点

找了好久这个方法,最后终于被我我找到了,使用BufferedImage,很好用,这篇文章也包括我前两篇文章的内容(不断刷新页面),因为前面已经说过,这里面就不具体再讲了,上代码吧,为了让半路过来看的朋友看得清楚,我把这一套的代码都贴出来,包括前两篇的。

	//将slam返回的地图json中的data(图片转换后的base64编码)以流的方式传给前台进行显示
	@RequestMapping("/toImage")
	public  String doImage(Model model,HttpServletRequest request,HttpServletResponse response) throws Exception {
		//模拟真正的json串,data中就是图片的base64编码
//	String msg="{\"message_type\": \"all_robot_info\", \"data\": \"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\"}";
	try {
		
	
	i++;
		String base64 = null;
	byte[] bytes = null;     
	ServletOutputStream out = null;  
	JSONObject obj = JSONObject.fromObject(maData);
	    Iterator it = obj.keys();
	    while(it.hasNext())
	    {
	        String key = (String) it.next();
	        if (key.equals("data")) {
//			System.out.println(obj.get(key));

			base64 = (String) obj.get(key);
			}
	        if (key.equals("width")) {
	        	width=(int) obj.get(key);
			}
	        if (key.equals("height")) {
	        	height=(int) obj.get(key);
	        }
	    }
	    //将base64编码数据转成byte数组
	    BASE64Decoder decoder=new BASE64Decoder();
	    bytes=decoder.decodeBuffer(base64);
	    System.out.println("调用此函数的次数:"+i+"\r\n"+"bytes的大小:"+bytes.length);
	//将读到的文件以流的形式发送到前台页面
	response.setContentType("multipart/form-data");
	
/*	out = response.getOutputStream();  
	out.write(bytes);
	out.flush();*/
//以下代码是将base64编码转换成图片并且保存在本地
	
    String imgFilePath = "F:/new-workspace/ZNJQR/map.jpg";//新生成的图片
    OutputStream outFile = new FileOutputStream(imgFilePath);
    outFile.write(bytes);
    outFile.flush();
    outFile.close();
    //以下是获取某个坐标点的rgb值
    BufferedImage img = new BufferedImage(100, 100, BufferedImage.TYPE_INT_RGB);
    //通过ImageIO类读取文件,读取的是上面保存的图片
    img = ImageIO.read(new File("F:/new-workspace/ZNJQR/map.jpg"));
    int[] rgb = new int [3];
    int pixel = img.getRGB((int)currentX, (int)currentY);
    rgb[0] = (pixel & 0xff0000) >> 16;
    rgb[1] = (pixel & 0xff00) >> 8;
    rgb[2] = (pixel & 0xff);
    System.out.println("当前像素位置的RGB为:"+ rgb[0]+" "+rgb[1]+" "+rgb[2]);
    //改变具体坐标的颜色值,为了显示效果,我将坐标点上下左右的四个点也变了颜色
    //这时候的坐标可以后续加上传感器传回来的障碍物坐标点
//    int[] rgbAfter ={238,44,44};//像素值RGB:238,44,44,对应的16色是#EE2C2C
    img.setRGB((int)currentX+1, (int)currentY, 0xffff0000);
    img.setRGB((int)currentX, (int)currentY+1, 0xffff0000);
    img.setRGB((int)currentX, (int)currentY, 0xffff0000);
    img.setRGB((int)currentX, (int)currentY-1, 0xffff0000);
    img.setRGB((int)currentX-1, (int)currentY, 0xffff0000);
  /*  img.setRGB(272, 251, 0xffff0000);
    img.setRGB(271, 251, 0xffff0000);
    img.setRGB(270, 251, 0xffff0000);
    img.setRGB(269, 251, 0xffff0000);
    img.setRGB(268, 251, 0xffff0000);*/
    //将BufferedImage转换成byte数组
    ByteArrayOutputStream outByte = new ByteArrayOutputStream();
    try {
    	ImageIO.write(img, "jpg", outByte);
    	} catch (IOException e) {
    	e.printStackTrace();
    	}
    byte[] endByte=outByte.toByteArray();
    //将更改颜色后的byte转成图片进行存储
    String imgFilePath1 = "F:/new-workspace/ZNJQR/mapNew.jpg";//新生成的图片
    OutputStream outFile1 = new FileOutputStream(imgFilePath1);
    outFile1.write(endByte);
    outFile1.flush();
    outFile1.close();
    //通过io流的方式发送给页面进行显示
	out = response.getOutputStream();  
	out.write(endByte);
	out.flush();
	 
	} catch (Exception e) {
		//如果不加这段代码,很容易因为前台不断刷新导致报这个错误 ClientAbortException:  java.net.SocketException: Connection reset by peer: socket write error      
		String simplename = e.getClass().getSimpleName();      
	    //如果是  ClientAbortException这个错误可以选择不打印只输出客户端刷新太快了
		if("ClientAbortException".equals(simplename)){      
	            System.out.println("客户端刷新太快了");   
	       }else    
	       e.printStackTrace();  
	}
	

//	System.out.println("调用此函数的次数:"+i);
	 return null;
	}
以下是前台部分,之前的文章中有具体讲过
 
		
  

下面是Javascript部分

//点击图片 , 获取图片上对应的坐标,这个坐标y轴是反着的,应该是负y,但显示出来是正y
var JPos = {};
(function($){
$.$getAbsPos = function(p){
var _x = 0;
var _y = 0;
while(p.offsetParent){
_x += p.offsetLeft;
_y += p.offsetTop;
p = p.offsetParent;
}

_x += p.offsetLeft;
_y += p.offsetTop;

return {x:_x,y:_y};
};

$.$getMousePos = function(evt){
var _x,_y;
evt = evt || window.event;
if(evt.pageX || evt.pageY){
_x = evt.pageX;
_y = evt.pageY;
}else if(evt.clientX || evt.clientY){
_x = evt.clientX + document.body.scrollLeft - document.body.clientLeft;
_y = evt.clientY + document.body.scrollTop - document.body.clientTop;
}else{
return $.$getAbsPos(evt.target);

}
return {x:_x,y:_y};
}
})(JPos);


function vControl(pChoice){
switch(pChoice){
case "GETMOUSEPOSINPIC":
var mPos = JPos.$getMousePos();
var iPos = JPos.$getAbsPos(arguments[1]);
window.status = (mPos.x - iPos.x) + " " + (mPos.y - iPos.y);
alert(window.status);
window.location.href="convertToActualCoordinate.action?status="+window.status;
break;
}
}
还有:
//当前页面的图片不断进行刷新
 var timer=self.setInterval("clock()",5000);

function clock()
{
	//在toImage.action后面加个随机数Math.random(),这样每次请求的时候,浏览器就不会认为这是一个请求了
document.getElementById("npcImg").src="toImage.action?"+Math.random();

} 
到这儿就算完成了

本文《java 改变图片某个坐标点的颜色,并返回给前台显示》版权归诺丽果所有,引用java 改变图片某个坐标点的颜色,并返回给前台显示需遵循CC 4.0 BY-SA版权协议。


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