Description: This sample shows different ways of performing anti-aliasing - both by using only
the native hardware AA support, and by mixing the hardware modes with additional
supersampling. There are various ways in which the supersampled image can be
down-sampled. The way we do the downsampling in this example is the same
technique that was used in 2 of our latest launch demos – “Froggy” and “Adrianne”.-This sample shows different ways of performing anti-aliasing- both by using onlythe native hardware AA support, and by mixing the hardware modes with additionalsupersampling. There are various ways in which the supersampled image can bedown-sampled. The way we do the downsampling in this example is the sametechnique that was used in 2 of our latest launch demos- "Froggy" and "Adrianne". Platform: |
Size: 830464 |
Author:craig |
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Description: 用于图像识别的新型神经元网络
提出了一种用于图像识别的映封正交神经元网络。
在一般情况下待识别的样本空间的维数相当大,
为了有效地进行识别,必须把样本空间的维数降下来。目前常用的方法就是特征提取法,本文采用映射正交过程把样本空间映射成正交分类空间,并在此基础上,采用网络进行图像分类。计算机上模拟结果表明此网络县有时缺损和噪声图像进行正确识别的能力-Image recognition for a new type of neural network used in a video image recognition of the orthogonal neural network closure. In general, the sample space to be recognition of the considerable dimensions, in order to effectively identify, must be the dimension of sample space down. Commonly used method at present is the feature extraction method, this paper, the process of mapping the sample space orthogonal mapping classification into orthogonal space, and on this basis, the use of network image classification. Computer simulation results show that the county and sometimes the network image defects and noise of the ability to correctly identify Platform: |
Size: 441344 |
Author:wang kun |
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Description: Images passed to your application are not always of the same size as your
templates. To compare them you might need to up scale or down scale them to
the template size. It is preferred that when comparing you check the size of the
template to be compared then adjust the size of the incoming image to be
compared. For simplicity you can do it for the following sample only.
Hints:
• Upsampling by interpolation/replacement
• Downsampling by interpolation/replacement
• Refer to sample code given in first tutorial for ways to create
images of similar width and height.-Images passed to your application are not always of the same size as your
templates. To compare them you might need to up scale or down scale them to
the template size. It is preferred that when comparing you check the size of the
template to be compared then adjust the size of the incoming image to be
compared. For simplicity you can do it for the following sample only.
Hints:
• Upsampling by interpolation/replacement
• Downsampling by interpolation/replacement
• Refer to sample code given in first tutorial for ways to create
images of similar width and height. Platform: |
Size: 3468288 |
Author:marwa |
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Description: 注意里面的注释不是英文的，因为原理很简单，火人就没翻译了。
初学者可往下看本例程的原理：
1、依次获得取样点的颜色
2、在取样点画该颜色的方框
取样越精，方框越小，图像就越清晰 -Note that inside the comment is not English, because the principle is very simple, no translation of Burning Man. Beginners can look down the principle of this routine: 1, followed by the color of two sample points obtained in the sampling stipple the color of the box sampling the more refined, the smaller the box, the image more clearly Platform: |
Size: 322560 |
Author:lyp258 |
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Description: 该代码实现了以2为因子的图像升采样和降采样功能。-The code implements a 2-liter for the factors sampling and down-sampling the image function. Platform: |
Size: 1024 |
Author:beifang |
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Description: 该代码实现了以2为因子的图像升采样和降采样功能。
降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。
升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。
降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。
图片1.原始图片。
图片2.平滑滤波器降采样&像素点直接复制升采样。
图片3.平滑滤波器降采样&线性插值升采样。
图片4.不使用平滑滤波器降采样&像素点直接复制升采样。
图片5.不使用平滑滤波器降采样&线性插值升采样。
-The code to achieve a 2-factor image upsampling and downsampling function. Down-sampling (with using the averaging filter) and do not use smoothing filter (without using the averaging filter) are two ways to use the smoothing filter. Upsampling including the pixels copied directly (pixel replication method) and linear interpolation (bilinear interpolatoin method) two methods. Down-sampling method and liters a total of four combinations of sampling methods. The program is running, it shows a picture of an original picture and four results. Picture 1 original picture. Photo 2. Smoothing filter downsampling & the pixel directly copied liter sample. Photo 3. Smoothing filter downsampling & the linear interpolation liter sampling. Picture 4. Smoothing filter down-sampling & the pixels directly copied liter sampling. Picture 5. Use smoothing filter down-sampling & the linear interpolation liter sampling. Platform: |
Size: 1024 |
Author:liuyan |
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Description: 安卓触摸事件处理操作的实例，TouchScreen源代码，触摸事件是Android手机操作的基本，一个好的触摸事件机制能提高Android的操作体验。本代码通过一系列示例演示android触摸事件的方方面面，比如判断是否触摸、Android绘制图像、绽放图片大孝触摸移动事件、触摸按下事件、获取点击的X,y坐标等，虽然很具体，但很底层，是基本技巧。
-Android touch event handling operations instance, TouchScreen source code, touch event is the Android mobile operating basic, a good touch event mechanism can improve the Android operating experience. This code sample demonstrates through a series of aspects android touch events, such as determine whether the touch, Android draw the image, bloom pictures big filial touch move event, touch down event, get clicked X, y coordinates, etc., although very specific, but it is bottom, is the basic skills. Platform: |
Size: 125952 |
Author:eric |
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Description: C#七巧板-C#创建菱形图案，其间使用了进程，示例适用于 Windows 窗体，它需要 PaintEventArgse，一个 OnPaint 事件对象。代码执行下列操作：
创建两个路径：一个为头朝上的三角形，另一个为头朝下的三角形。将第二个路径添加到第一个路径上。将最终的路径绘制到屏幕。
设置控件样式为双缓冲，可以有效减少图片闪烁的问题-Tangram-C# C# to create a diamond pattern, during which the use of the process, the sample for Windows Forms, and it requires PaintEventArgse, a OnPaint event object. Code performs the following actions: Creates two paths: one for the head-on the triangle, the other is upside down triangle. The second path is added to the first path. The path will eventually be drawn to the screen. Styling controls are double-buffered, can effectively reduce image flicker problem Platform: |
Size: 44032 |
Author:tpudn40 |
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Description: 运用matlab对灰度图进行缩放一定比例的缩放。对图像进行缩小用到两种方法：其一直接消除像素进行缩放处理；其二先进行初步 的图像平滑滤波，然后消除像素。平滑滤波用于模糊处理，可以出去细节并降低噪声。-Write MATLAB functions to down-sample one grayscale image from original size to the
given output size through two different methods: a) directly elimination of pixels and b)
preliminary image smoothing before elimination of pixels.
Process the given test images “Living Room” with scale-down coefficients: 2:1, 4:1, 8:1 and
16:1. Platform: |
Size: 3072 |
Author:宁可 |
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Description: 提出一种基于可分离Gabor滤波的纹理分析新方法,该方法把传统的Gabor滤波器分解成为两个相互正交的低通和带通滤波器,以降低滤波运算量 并指出在正交分解条件不满足的情况下,通过旋转样本图像,解决Gabor滤波器在任意角度的正交分解问题。实验表明,新方法与传统方法相比,效率提高30 以上,并且准确率更高。-Proposed a new method of analysis based on separable Gabor filter texture, which the traditional Gabor filter is broken down into two mutually orthogonal low-pass and band-pass filter to reduce the amount of filtering operations and noted orthogonal decomposition the condition is not satisfied, by rotating the sample image solve Gabo r filter at any angle orthogonal decomposition problem. Experimental results show that the new method compared with traditional methods, more than 30 efficiency, and higher accuracy. Platform: |
Size: 601088 |
Author:guiyangyang |
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Description: 该代码实现了以2为因子的图像升采样和降采样功能。
降采样包括使用平滑滤波器(with using the averaging filter)和不使用平滑滤波器(without using the averaging filter)两种方法。
升采样包括像素点直接复制(pixel replication method)和线性插值(bilinear interpolatoin method)两种方法。
降采样方法和升采样方法共有4种组合。程序运行后，给出了一个原始图片和四个结果图片。
图片1.原始图片。
图片2.平滑滤波器降采样&像素点直接复制升采样。
图片3.平滑滤波器降采样&线性插值升采样。
图片4.不使用平滑滤波器降采样&像素点直接复制升采样。
图片5.不使用平滑滤波器降采样&线性插值升采样。-The code implements a factor of 2 liters of sampling and down-sampling the image function.
Downsampling including the use of smoothing filter (with using the averaging filter) and does not use smoothing filter (without using the averaging filter) in two ways.
L sample includes direct copying pixels (pixel replication method) and linear interpolation (bilinear interpolatoin method) in two ways.
Downsampling and upsampling method There are four combinations of methods. After the program runs, gives a picture of the original image and the four results.
Picture 1 original picture.
Picture 2. Smoothing filter downsampling & Pixel copied directly liter sample.
Picture 3. Smoothing filter downsampling & linear interpolation upsampling.
Picture 4 without using a smoothing filter downsampling & Pixel copied directly liter sample.
Picture 5. Downsampling does not use smoothing filter & linear interpolation upsampling. Platform: |
Size: 1024 |
Author:刘杨 |
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Description: The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations.
3. Convolve each image in the Gaussian pyramid with each orientation filter.
4. Combine the results of step 3 to create the Feature Map.
5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1])
to cluster candidate text regions together.
6. Create final output image with text in white pixels against a plain black
background. Platform: |
Size: 2048 |
Author:Lee Kurian |
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Description: 人脸识别技术作为生物体特征识别技术的重要组成部分，在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法（PCA）在人脸识别中的应用，在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真，并对样本图像进行了重构。本实验在ORL人脸库的基础上，选用每人前5张图片，共计40人200幅样本图像，通过快速PCA算法将10304维的样本特征向量降至20维，并实现了基于主分量的人脸重建，验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction. Platform: |
Size: 20067328 |
Author:季科 |
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