Description: ex4.14 图元识别问题« 问题描述：在数字化图像处理中常将一幅图像表示为一个m´ m 的像素矩阵。其中每个像素的值为0或1。值为0的像素表示图像的背景，而值为1 的像素表示图像中某个图元上的一个点，通常称其为图元像素。当一个像素在另一个像素的上方、下方、左侧或右侧时，称这2个像素为相邻像素。一幅图像中的相邻像素属于同一图元，而不相邻的像素属于不同图元。图元识别问题就是对给定图像的图元像素进行标记，使得同一图元的图元像素有相同的标记，而不同图元的图元像素其标记也不同。试用抽象数据类型队列设计解图元识别问题的算法，并分析算法的计算复杂性。« 数据输入：由文件input.txt给出输入数据。第一行有1 个正整数m，表示给定m´ m的像素矩阵。接下来的m行中，每行m个数，表示m个像素，值为0 的像素表示图像的背景，而值为1的像素表示图像中某个图元上的一个点。« 结果输出:将计算出的不同图元的个数输出到文件output.txt。输入文件示例 输出文件示例input.txt output.txt70 0 1 0 0 0 00 0 1 1 0 0 00 0 0 0 1 0 00 0 0 1 1 0 01 0 0 0 1 0 01 1 1 0 0 0 01 1 1 0 0 0 03-ex4.14 map identification laquo yuan; Problem description : the digital image processing of an image often expressed as a macute; M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan identification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut Platform: |
Size: 58735 |
Author:林天 |
Hits:
Description: DIB(Device-indepent bitmap)的与设备无关性主要体现在以下两个方面： DIB的颜色模式与设备无关。例如，一个256色的DIB即可以在真彩色显示模式下使用，也可以在16色模式下使用。 256色以下(包括256色)的DIB拥有自己的颜色表，像素的颜色独立于系统调色板。 由于DIB不依赖于具体设备，因此可以用来永久性地保存图象。DIB一般是以*.BMP文件的形式保存在磁盘中的，有时也会保存在*.DIB文件中。运行在不同输出设备下的应用程序可以通过DIB来交换图象。 DIB还可以用一种RLE算法来压缩图像数据，但一般来说DIB是不压缩的。 DIB的结构-DIB (Device-indepentent bitmap) has nothing to do with sexual equipment mainly in the following two aspects : DIB color mode has nothing to do with the equipment. For example, a 256-color DIB is the true color display mode, or can be used in 16 color mode. 256-color below (including 256 colors), the DIB has its own color table, color of the pixel independent system palette. As DIB is not dependent on specific equipment, it can be used for permanent preservation of images. DIB normally *. BMP file stored in the form of disk, sometimes stored in *. DIB document. Running on different output devices under the application of the procedure can be DIB to exchange images. DIB can also use a RLE compression algorithm to image data, but generally DIB is not compressed. DIB structure Platform: |
Size: 6457 |
Author:王小二 |
Hits:
Description: ex4.14 图元识别问题« 问题描述：在数字化图像处理中常将一幅图像表示为一个m´ m 的像素矩阵。其中每个像素的值为0或1。值为0的像素表示图像的背景，而值为1 的像素表示图像中某个图元上的一个点，通常称其为图元像素。当一个像素在另一个像素的上方、下方、左侧或右侧时，称这2个像素为相邻像素。一幅图像中的相邻像素属于同一图元，而不相邻的像素属于不同图元。图元识别问题就是对给定图像的图元像素进行标记，使得同一图元的图元像素有相同的标记，而不同图元的图元像素其标记也不同。试用抽象数据类型队列设计解图元识别问题的算法，并分析算法的计算复杂性。« 数据输入：由文件input.txt给出输入数据。第一行有1 个正整数m，表示给定m´ m的像素矩阵。接下来的m行中，每行m个数，表示m个像素，值为0 的像素表示图像的背景，而值为1的像素表示图像中某个图元上的一个点。« 结果输出:将计算出的不同图元的个数输出到文件output.txt。输入文件示例 输出文件示例input.txt output.txt70 0 1 0 0 0 00 0 1 1 0 0 00 0 0 0 1 0 00 0 0 1 1 0 01 0 0 0 1 0 01 1 1 0 0 0 01 1 1 0 0 0 03-ex4.14 map identification laquo yuan; Problem description : the digital image processing of an image often expressed as a macute; M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan identification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut Platform: |
Size: 58368 |
Author:林天 |
Hits:
Description: DIB(Device-indepent bitmap)的与设备无关性主要体现在以下两个方面： DIB的颜色模式与设备无关。例如，一个256色的DIB即可以在真彩色显示模式下使用，也可以在16色模式下使用。 256色以下(包括256色)的DIB拥有自己的颜色表，像素的颜色独立于系统调色板。 由于DIB不依赖于具体设备，因此可以用来永久性地保存图象。DIB一般是以*.BMP文件的形式保存在磁盘中的，有时也会保存在*.DIB文件中。运行在不同输出设备下的应用程序可以通过DIB来交换图象。 DIB还可以用一种RLE算法来压缩图像数据，但一般来说DIB是不压缩的。 DIB的结构-DIB (Device-indepentent bitmap) has nothing to do with sexual equipment mainly in the following two aspects : DIB color mode has nothing to do with the equipment. For example, a 256-color DIB is the true color display mode, or can be used in 16 color mode. 256-color below (including 256 colors), the DIB has its own color table, color of the pixel independent system palette. As DIB is not dependent on specific equipment, it can be used for permanent preservation of images. DIB normally*. BMP file stored in the form of disk, sometimes stored in*. DIB document. Running on different output devices under the application of the procedure can be DIB to exchange images. DIB can also use a RLE compression algorithm to image data, but generally DIB is not compressed. DIB structure Platform: |
Size: 6144 |
Author:王小二 |
Hits:
Description: map identification laquo yuan Problem description : the digital image processing of an image often expressed as a macute M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan identification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut -map identification laquo yuan Problem description: the digital image processing of an image often expressed as a macute M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan identification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut Platform: |
Size: 4096 |
Author:jijun |
Hits:
Description: 通过对图像先进行像素处理,利用PCA对图片进行线性变换获取一维数据.-Through the first pixel of image processing, the use of PCA on the picture for one-dimensional linear transformation to obtain the data. Platform: |
Size: 1024 |
Author:赵立桐 |
Hits:
Description: 对Dicomh文件的解读。任何图像文件格式无非是由两个部分组成：存参数的 header 和图点数据（pixel data)。
BMP、 JPEG、TIFF 之类的格式的 header 只描述图像的基本参数：如几行、几列、每点用了几位、有没有压缩、调色板等等。Header 往往是固定长度的。
-Dicomh interpretation of the document. Any image file format is no more than two components: the header and keep parameter map data (pixel data). BMP, JPEG, TIFF format, such as header images only describe the basic parameters: such as a few lines, a few are listed, each with a few points, is there any compression, color palettes and so on. Header is a fixed length. Platform: |
Size: 588800 |
Author:wangquanyang |
Hits:
Description: 说明了HR IS 相邻光谱通道图像数据具有高度的相关性, 提出了基于这种特
性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性
对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通
过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的
效果, 并应用到了实际的HR IS 数据处理中。-HR IS shows adjacent channel spectral image data with a high degree of relevance, based on such characteristics and data interpolation pixel related distortion correction method, the method is divided into two steps, first step, the relevance of the use of images of image pixels to detect distortion of the purpose of reducing the image data changes, the second step to reduce the computing time, by surface fitting methods, the distortion of the detected pixel intensity correction. Experiments show that the school is way to have good results, and applied to the actual HR IS data processing. Platform: |
Size: 205824 |
Author:zhaoxiaoguang |
Hits:
Description: 本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.-Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information. Platform: |
Size: 3072 |
Author:xixi |
Hits:
Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates Platform: |
Size: 117760 |
Author:王钰 |
Hits:
Description: 实现了一幅图像的实时采集与显示，并且在显示时提供当前数据的像素，位图属性等信息-To achieve a real-time image acquisition and display, and provide current data show that the pixel, bitmap attribute information Platform: |
Size: 2150400 |
Author:李哲 |
Hits:
Description: 一幅图像包括目标物体、背景还有噪声，要想从多值的数字图像中直接提取出目标物体，最常用的方法就是设定一个阈值T，用T将图像的数据分成两部分：大于T的像素群和小于T的像素群。这是研究灰度变换的最特殊的方法，称为图像的二值化-An image including the target object, have the background noise, in order from the multi-valued digital image directly to extract the target objects, the most commonly used method is to set a threshold T, with T the image data divided into two parts: large pixel in the T group and T is less than the pixel group. This is study of gray-scale transformation of the most special method, known as image binarization Platform: |
Size: 38912 |
Author:王子 |
Hits:
Description: DibImage is a set of Borland C++Builder classes for use in manipulating and displaying machine vision image data. They are targeted at users who need to manipulate images at the pixel level and hence DibImage is very useful in image processing applications.
C++Builder contains an image component which is very useful for displaying images, but it does not allow quick and easy access to the pixels of the image or the image s palette. DibImage allows you to directly manipulate the pixels of the image and it also allows direct manipulation of the color palette.
To gain speed, DibImage allows you to decide when the control should be repainted. This way, if you change several pixels in one operation, you can have the control repainted after all pixels are changed rather than after each individual pixel change.
DibImage is compatible with Borland C++Builder version 4. -DibImage is a set of Borland C++Builder classes for use in manipulating and displaying machine vision image data. They are targeted at users who need to manipulate images at the pixel level and hence DibImage is very useful in image processing applications.
C++Builder contains an image component which is very useful for displaying images, but it does not allow quick and easy access to the pixels of the image or the image s palette. DibImage allows you to directly manipulate the pixels of the image and it also allows direct manipulation of the color palette.
To gain speed, DibImage allows you to decide when the control should be repainted. This way, if you change several pixels in one operation, you can have the control repainted after all pixels are changed rather than after each individual pixel change.
DibImage is compatible with Borland C++Builder version 4.
Platform: |
Size: 244736 |
Author:kirk cameron |
Hits:
Description: 图像的存取，显示，画布的建立。像素与调色板数据的存取。-Image access, display, set up the canvas. Pixel and palette data access. Platform: |
Size: 69632 |
Author:mage |
Hits:
Description: To identify distinguishable clusters of data in an n-dimensional pixel
value image.
Given: Samples of multi-spectral satellite images -To identify distinguishable clusters of data in an n-dimensional pixel
value image.
Given: Samples of multi-spectral satellite images Platform: |
Size: 11264 |
Author:imran |
Hits:
Description: 并行计算程序
Description: This program blurs an image file in a parallelized computation
The root process reads the file and distributes a part of the image file to
other processes. Each process makes the filter operation on the part of the image data which is received from the root. Then all the processes send their blurred image data to the root and root writes the result in a file-Distributed Image Processing Filter
Write a program that blurs an image file in a parallelized computation. Whenever possible, use collective
operations (MPI_Scatter, MPI_Gather). The root process reads the image file from the NFS
server, distributes the data of the file among all processes, and gathers the results into the output file.
Each processor should receive a part of the image only. The image file is provided as a raw image file.
It can be read using the C function fread() with a single call and written with the single call of the
function fwrite(). The image is given as an array of h rows, a row has 1280 pixels , where each pixel
is one unsigned char grey value. You may assume that h is lower than or equal to 8192.
a) Write an MPI program in which the root process prepairs the data, so that all other processes
get their data by exactly one MPI_Scatter operation. Platform: |
Size: 2048 |
Author:刘铭 |
Hits:
Description: 基于OPENCV的读取图片像素数据的程序，给定图片的像素数据被保存为TXT或XML文件。-Based on the OPENCV picture pixel data read process, a given image pixel data is saved as a TXT or XML file. Platform: |
Size: 400384 |
Author:Liu Wei |
Hits:
Description: 一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验结果表明,该方法简便实用,对光照、污迹等不敏感,抗干扰能力强。-New Method of a license plate image correction
Abstract caused due to camera angles, the image tilt motor vehicle license will have on its subsequent recognition of characters segmentation and adverse effects. Based on the analysis of the inclined plate model based on proposed based on least squares support vector machine (LS-SVM) of the license plate Skew new approach. By LS-SVM linear regression algorithm to strike a coordinate transformation matrix and rotate the image distortion correction. Main methods: First, the value of the two inclined plate in the image pixel is converted to two-dimensional coordinates of the sample, and construct the image data sets then the linear regression through the LS-SVM regression algorithm for the data set to strike a key parameter final , and then by the parameter is converted to reflect the tilt direction of two-dimensional image coordinate transformation matrix. The experimental results show that the method is simple and practical, to light, Platform: |
Size: 301056 |
Author:Leo |
Hits:
Description: 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neural network which is ideal for processing image data. By weighting this information fusion, we can get the emotional polarity of each pixel of the image. It can greatly improve accuracy rate of the image emotional classification model.) Platform: |
Size: 52354048 |
Author:安树声
|
Hits:
Search - image data pixel