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Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods.
Platform: |
Size: 65051 |
Author: bodiz2002 |
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Description: Hough变换可以检测已知形状的目标，而且受噪声和曲线间断的影响小。介绍
采用哈夫(Hough)变换，在二值化图像中检测直线，确定其参数的方法。-Hough Transform can detect known shape goals, but also by the noise and the impact curve intermittent small. Introduced, Hough (Hough) transform, the two binary image detection of straight lines, its parameters.
Platform: |
Size: 157294 |
Author: 石决明 |
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Description: 用PHP编写的表达式计算器，是用的编译的知识实现的，并非使用eval()函数实现。
功能强大，可以做所有的数值计算，代数计算还不能实现。
1。可以计算形如“-3*sin(2^0.5/2+3.1415)-pi()^2”的式子。
2。能识别数字（包括小数、正负数）、数学函数。
3。可以做加、减、乘、除、指数、取模 计算（其中加、减包括一元和二元两种操作）。
压缩包里的“math.php”是演示文件-with PHP prepared by the expression calculators, is the translation of knowledge to achieve, and are not using eval () function to achieve. Powerful, can do all the numerical calculation, algebraic calculations also can not be achieved. 1. Shape can be calculated as "-3 * sin (2 ^ 0.5 / 2 3.1415) - pi () ^ 2" formula. 2. Can identify figures (including decimal, plus or minus a few), math functions. 3. Can do, plus or minus, multiplication, addition, the index, calculated from model (which, plus or minus one yuan and include both binary operation). Compression bundle "math.php" Presentations
Platform: |
Size: 6809 |
Author: ZihanYang |
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Description: 通用二叉搜索树，包含的算法有：输出广度优先遍历、前序、中序、后序遍历结果，按树的形状打印树，统计总节点数，统计叶子节点数，统计右节点数，计算树的高度，删除所有叶子节点，插入节点，查找节点，删除节点，由前序遍历结果和中序遍历结果生成树，由后序遍历结果和中序遍历结果生成树，检查该树是否平衡和完全平衡。-generic binary search tree contains the algorithm are : output breadth - first traversal, the former sequence, sequence, after the preorder, the shape of the tree by tree print, the total number of nodes statistics, statistics leaf nodes, the nodes to the right statistics to calculate tree height, remove all leaf nodes, insert nodes, the nodes you delete nodes from the former preorder results and the results of Spanning Tree preorder, After the preorder from the results and the results preorder spanning tree, check whether the tree balanced and complete balance.
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Size: 16419 |
Author: 雷剑 |
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Description: 这是一个关于数值转换的程序，是用MASM来实现的，可以实现二进制和十进制，及十六进制之间的转化。-This is a numerical change of the procedure is the use of Shape to achieve, and can achieve binary and decimal, hexadecimal and the conversion between.
Platform: |
Size: 162566 |
Author: 王瑞 |
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Description: 这是一个关于数值转换的程序，是用MASM来实现的，可以实现二进制和十进制，及十六进制之间的转化。-This is a numerical change of the procedure is the use of Shape to achieve, and can achieve binary and decimal, hexadecimal and the conversion between.
Platform: |
Size: 161792 |
Author: 王瑞 |
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Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods.
Platform: |
Size: 2247680 |
Author: bodiz2002 |
Hits:
Description: Hough变换可以检测已知形状的目标，而且受噪声和曲线间断的影响小。介绍
采用哈夫(Hough)变换，在二值化图像中检测直线，确定其参数的方法。-Hough Transform can detect known shape goals, but also by the noise and the impact curve intermittent small. Introduced, Hough (Hough) transform, the two binary image detection of straight lines, its parameters.
Platform: |
Size: 156672 |
Author: 石决明 |
Hits:
Description: 用PHP编写的表达式计算器，是用的编译的知识实现的，并非使用eval()函数实现。
功能强大，可以做所有的数值计算，代数计算还不能实现。
1。可以计算形如“-3*sin(2^0.5/2+3.1415)-pi()^2”的式子。
2。能识别数字（包括小数、正负数）、数学函数。
3。可以做加、减、乘、除、指数、取模 计算（其中加、减包括一元和二元两种操作）。
压缩包里的“math.php”是演示文件-with PHP prepared by the expression calculators, is the translation of knowledge to achieve, and are not using eval () function to achieve. Powerful, can do all the numerical calculation, algebraic calculations also can not be achieved. 1. Shape can be calculated as "-3* sin (2 ^ 0.5/2 3.1415)- pi () ^ 2" formula. 2. Can identify figures (including decimal, plus or minus a few), math functions. 3. Can do, plus or minus, multiplication, addition, the index, calculated from model (which, plus or minus one yuan and include both binary operation). Compression bundle "math.php" Presentations
Platform: |
Size: 6144 |
Author: ZihanYang |
Hits:
Description: 通用二叉搜索树，包含的算法有：输出广度优先遍历、前序、中序、后序遍历结果，按树的形状打印树，统计总节点数，统计叶子节点数，统计右节点数，计算树的高度，删除所有叶子节点，插入节点，查找节点，删除节点，由前序遍历结果和中序遍历结果生成树，由后序遍历结果和中序遍历结果生成树，检查该树是否平衡和完全平衡。-generic binary search tree contains the algorithm are : output breadth- first traversal, the former sequence, sequence, after the preorder, the shape of the tree by tree print, the total number of nodes statistics, statistics leaf nodes, the nodes to the right statistics to calculate tree height, remove all leaf nodes, insert nodes, the nodes you delete nodes from the former preorder results and the results of Spanning Tree preorder, After the preorder from the results and the results preorder spanning tree, check whether the tree balanced and complete balance.
Platform: |
Size: 314368 |
Author: 雷剑 |
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Description: 演示遍历二叉树的过程，所以首先建立二叉树，并用图形显示出树的形状。建立的过程是采用前序便利的方法来创建，设计两种生成树的方式：一种是系统随机生成，另一种是人工输入。考虑到屏幕界面的有限性，限定二叉树不超过5层，最多26个字符，输入字符小数点“.”代表NULL。初始树为某种颜色的结点，三种情况的遍历采用填充另外一种醒目的颜色，来表示当前遍历的结点，同时显示该结点的访问序号。同时在遍历的过程中在遍历图形的下方显示出遍历序列。-Demonstration of the process of binary tree traversal, so first of all establish a binary tree, and graph shows that the shape of the tree. Established process is used to facilitate pre-order method to create, design spanning two ways: one is the system of randomly generated, and the other is manual input. Taking into account the limited nature of the interface screen, limited to not more than 5 tree layer, a maximum of 26 characters, enter the decimal point character . On behalf of NULL. The initial tree for a certain color nodes, three cases of traversal using fill another eye-catching colors, to indicate the traversal of the current node, at the same time revealed that the serial number of nodes visited. At the same time, the process of traversal in the traversal graph traversal sequence shown below.
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Size: 2048 |
Author: 溪传友 |
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Description: 图像细化 （Image Thinning），一般指二值图像的骨架化（Image Skeletonization） 的一种操作运算。
一个图像的骨架由一些线和曲线（比较理想的是单像素宽度），骨架可以提供一个图像目标的尺寸和形状信息，因而在数字图像分析中具有重要的地位，图像细化（骨架化）是进行图像识别、线条类图像目标分析的重要手段。
本文将探讨骨架的一些性质，给出如何判断一个像素是否属于图像目标的骨架，最后将给出获得图像目标骨架的基本算法。-Image Thinning (Image Thinning), generally refers to binary image of the skeleton (Image Skeletonization) an operation of computing. An image of the skeleton by a number of lines and curves (more ideal is a single pixel width), can provide a skeleton image target size and shape information, which in the digital image analysis in an important position, image thinning (skeleton of) is image recognition, line-type image of an important means of target analysis. This article will explore some properties of the skeleton is given how to determine whether a pixel belongs to the target image of the skeleton, the final goal will be given access to images of the basic algorithm skeleton.
Platform: |
Size: 110592 |
Author: 魏建亮 |
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Description: 这个程序将图像变为二值化图像，然后对图像进行形状的特征提取，算法很全，包含多种图像形状提取方式。-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods. -This process the image into a binary image, and then the shape of the image feature extraction algorithm is very wide, including a variety of ways images shape extraction.-image of this procedure into two binary images, and then to shape the image feature extraction algorithm is very full, Shape mixture of images extraction methods.
Platform: |
Size: 65536 |
Author: 宇文龍 |
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Description: KSDev Block Engine 3.03
BlockEngine is a set of components for creating professional-looking vector graphics. BlockEngine can be used to create business diagrams, presentations, organization and workflow charts, software and process flowcharts, database structures and much much more. Using BlockEngine you can easy to add Microsoft Visio like editor to your application. BlockEngine use next generation GDI+ graphics.
+ Visio like editor
+ Antialised 2D vector graphics
+ Alpha channel support
+ Free rotation support
+ Shape grouping support
+ Very easy to use shape connection
+ Show and snap to grid support
+ Good blocks collection
+ Rulers on different unit
+ Print preview component
+ Document can store in binary file, text file and stream-KSDev Block Engine 3.03 BlockEngine is a set of components for creating professional-looking vector graphics. BlockEngine can be used to create business diagrams, presentations, organization and workflow charts, software and process flowcharts, database structures and much much more. Using BlockEngine you can easy to add Microsoft Visio like editor to your application. BlockEngine use next generation GDI+ graphics.+ Visio like editor+ Antialised 2D vector graphics+ Alpha channel support+ Free rotation support+ Shape grouping support+ Very easy to use shape connection+ Show and snap to grid support+ Good blocks collection+ Rulers on different unit+ Print preview component+ Document can store in binary file, text file and stream
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Size: 3457024 |
Author: 付西 |
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Description: 這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式-1- Read the RGB (colored) image in from user.
2- Convert image from (RGB) colored to gray image.
3- Threshold the image (convert gray image to binary image).
4- Invert the binary image (in order to speed up the time of processing).
5- Find the boundaries concentrate.
6- Determine shapes properties (ratio of dimensions, roundness).
7- Classify shapes according to its properties.
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Size: 51200 |
Author: tom |
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Description: 对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。-After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.
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Size: 2048 |
Author: mayan |
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Description: 树型结构上机作业
1 建立二叉树
1）通过输入树的嵌套括号表示序列
2）根据前序遍历序列和中序遍历序列建立二叉树
3）建立哈夫曼树
2. 对于1中1），2）所建立的树进行如下操作：
1）查找结点
2）前序遍历
3）中序遍历
3 对于建立的哈夫曼树进行编码
4 输出二叉树的形状
-Operating a tree structure on the plane to establish binary 1), enter the tree through a sequence of nested brackets 2) According to the preorder traversal sequence and in order to establish a binary tree traversal sequence 3) to establish Huffman 2. For 1 1), 2) the establishment of a tree as follows: 1) Find node 2) before traversing 3) traversing the Huffman tree for the establishment of 3 to 4 output binary shape coding
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Size: 3072 |
Author: 胡先生 |
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Description: compute the oriented bounding box of a shape in a binary image using pca
Platform: |
Size: 1024 |
Author: ipsenexion |
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Description: 1 建立二叉树 1）通过输入树的嵌套括号表示序列 2）根据前序遍历序列和中序遍历序列建立二叉树 3）建立哈夫曼树 2. 对于1中1），2）所建立的树进行如下操作： 1）查找结点 2）前序遍历 3）中序遍历 3 对于建立的哈夫曼树进行编码 4 输出二叉树的形状-1 Create a binary 1) by entering the sequence of the tree of nested brackets 2) According to the preorder traversal sequence and in the establishment of a binary tree traversal sequence 3) the establishment of the Huffman tree 2. For 1 1), 2) the establishment of tree do the following: 1) Find node 2) pre-order traversal 3) traversing the Huffman tree for the establishment of 3 to 4 output binary shape coding
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Size: 3072 |
Author: leik |
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Description: Objective
-
The program should recognize objects like circles, rectangles, and squares the input image.
Introduction
This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?etc
In this classifier we will recognize only shapes like circles, rectangles, and squares the input image.
So, we will concentrate on the steps we will follow to recognize those shapes any input image.
We have seven steps:
1 - Read the RGB (colored) image in user.
2 - Convert image (RGB) colored to gray image.
3 - Threshold the image (convert gray image to binary image).
4 - Invert the binary image (in order to speed up the time of processing).
5 - Find the boundaries concentrate.
6 - Determine shapes properties (ratio of dimensions, roundness).
7 - Classify shapes according to its properties.
Input
-
RGB image have the shapes to recognize.
Output
The RGB image with shapes recognized and labeled.
-Objective
-
The program should recognize objects like circles, rectangles, and squares the input image.
Introduction
This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?etc
In this classifier we will recognize only shapes like circles, rectangles, and squares the input image.
So, we will concentrate on the steps we will follow to recognize those shapes any input image.
We have seven steps:
1 - Read the RGB (colored) image in user.
2 - Convert image (RGB) colored to gray image.
3 - Threshold the image (convert gray image to binary image).
4 - Invert the binary image (in order to speed up the time of processing).
5 - Find the boundaries concentrate.
6 - Determine shapes properties (ratio of dimensions, roundness).
7 - Classify shapes according to its properties.
Input
-
RGB image have the shapes to recognize.
Output
The RGB image with shapes recognized and labeled.
Platform: |
Size: 6144 |
Author: yamina |
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