Description: CSharp编写的绘图程序实例，包括创建线性梯度、连接线条,由直线、曲线和形状创建图形,在一个区域点击检测,绘制不透明和半透明的线条,绘制贝赛尔样条等等多种绘图技术的实例-CSharp procedures for the preparation of drawing examples, including the creation of linear gradient connecting lines from the straight line. curves and shapes to create graphics, in a regional Click detection, rendering opaque and translucent lines. Drawing Bessel kind of a multitude of examples of mapping technology Platform: |
Size: 175544 |
Author:金戈 |
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Description: CSharp编写的绘图程序实例，包括创建线性梯度、连接线条,由直线、曲线和形状创建图形,在一个区域点击检测,绘制不透明和半透明的线条,绘制贝赛尔样条等等多种绘图技术的实例-CSharp procedures for the preparation of drawing examples, including the creation of linear gradient connecting lines from the straight line. curves and shapes to create graphics, in a regional Click detection, rendering opaque and translucent lines. Drawing Bessel kind of a multitude of examples of mapping technology Platform: |
Size: 175104 |
Author:金戈 |
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Description: 用两种方法实现了圆检测，一种是传统的21HT；另一种是改进的方法，通过加入链表降低时间复杂度-This project realize the detection of circle_like shapes .It contains two methods:one is the classical 21HT,another is the improved algorithm which use the dynamic list arrays in order to reduce the time complexity. Platform: |
Size: 1894400 |
Author:闵巍庆 |
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Description: Autonomous indoor mobile robots are gaining increasing popularity for the shared use in military
and civil applications. Recently aerial or ground robots of various shapes and sizes have been
developed for quick detection and observation of circumstances in calamity environments such as
indoor fire spots [1, 2]. In an indoor environment, however, weak reception of GPS signals has posed
additional challenges to the operation of the robots. Therefore less expensive self-localization with
unaided external sensors is one of the most important problems in popularizing indoor mobile robot
products. Platform: |
Size: 379904 |
Author:zhangjianrong |
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Description: Abstract—We present a fast feature selection algorithm
suitable for object detection applications where the image
being tested must be scanned repeatedly to detected the object
of interest at different locations and scales. The algorithm
iteratively estimates the belongness probability of image pixels
to foreground of the image. To prove the validity of the
algorithm, we apply it to a human detection problem. The
edge map is filtered using a feature selection algorithm. The
filtered edge map is then projected onto an eigen space of
human shapes to determine if the image contains a human.
Since the edge maps are binary in nature, Logistic Principal
Component Analysis is used to obtain the eigen human shape
space. Experimental results illustrate the accuracy of the human
detector. Platform: |
Size: 492544 |
Author:谷川 |
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Description: The efficiency of perceptual coding in compressing color
images relies on the estimation of perceptual redundancy.
In this paper, a color image coder is proposed for perceptually
lossless image compression which shapes the coding
error as a part of perceptual redundancy. The perceptual
redundancy inherent in each pixel of a color image is
estimated in terms of a triple of values, one for each color
channel, as a detection threshold for distortion. Platform: |
Size: 266240 |
Author:SKP |
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Description: alpha shapes算法用于三维大量数据的边缘检测，适合于三维激光扫描数据以及机载雷达数据，可以用于建筑物及其他地物的边缘检测。-alpha shapes algorithm for three-dimensional edge detection of large amounts of data, suitable for three-dimensional laser scan data, and airborne radar data, can be used for buildings and other surface features of edge detection. Platform: |
Size: 26624 |
Author:王秋燕 |
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Description: 基于数学形态学的边缘检测过程中，不同形状、不同尺度的结构元素在滤除噪声和保持边缘细节方面的作用是不同的。本文提出了一种基于多形状多尺度结构元素的自适应边缘检测算法，分别使用不同方向和大小的结构元素提取图像边缘，通过计算信息熵自适应确定权重系数，对多形状结构元素和多尺度结构元素检测的边缘做融合处理。实验结果表明，本文提出的算法与几种经典边缘检测算子相比，有效抑制了噪声的影响，提高了检测的精度，对各种不同图像具有很好的鲁棒性。-In the process of edge detection based on mathematical morphology，the structural elements of different shapes/scales play different roles in noise filtering and keeping edge details intact. An adaptive edge detection algorithm based on multi-shape /scale structural elements was therefore proposed. Where the image edge was extracted using different directions/sizes structural elements. Then, the weight factors were determined adaptively by computing the information entropy so as to integrate the edges detected by multi-shape and multi-scale structural elements. Experimental results showed the proposed algorithm can suppress the interference of noise more effectively in comparison with several classical edge detection algorithm,，thus improving the detection accuracy and robustness of different images. Platform: |
Size: 275456 |
Author:黄海龙 |
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Description: 本算法实现了基于手部颜色和手形的静态手势的检测和识别，特色有两点：（1）排除了面部区域后进行肤色检测（2）在手部候选区域分别提取轮廓，并求出Hu不变矩，将其与模板进行比较，排除类手形区域，进一步识别是何种手势-hand gestures detection and recognition based on skin colors and hand shapes Platform: |
Size: 12617728 |
Author:ben |
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Description: 里面有OPenCV环境变量的设置，OpenCV入门的各种常用程序，全部经过测试能运行，有结果。包括图片显示，图片反相，鼠标事件，播放AVI文件，画几何图形，图像边缘检测，从摄像头读取数据等等程序。-There is OPenCV environment variable Settings, OPenCV entry of all sorts of commonly used procedures, can all through the test run, have the result. Including images, according to a reverse phase images, mouse events, play AVI files, geometric shapes, image edge detection, read data from the camera and so on. Platform: |
Size: 9589760 |
Author:夏辉 |
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Description: TypeScript Helper class implementation of hit detection for polygonal shapes/path using Fast Winding Number Algorithm Platform: |
Size: 1024 |
Author:sen Jacob |
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Description: 用Labview vision平台测量几何图形的轮廓边界，用的是labview2017(Using the Labview vision platform to measure the outline boundaries of geometric shapes, using labview2017) Platform: |
Size: 28672 |
Author:吾道孤也
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Description: 对含有直线、矩形、椭圆等几何图形的图片进行检测，对椭圆进行标记(Test images containing lines, rectangles, ellipses and other geometric shapes to mark the ellipse) Platform: |
Size: 6144 |
Author:纸片儿
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Description: 图像采集。测量是基于图像中物体所表现出来特征。图像处理算法通常利用图像中包含的信息进行分类，如边、面或形状。不同类型的机器视觉算法，影响并提取一种或多种信息。
边缘检测及其衍生技术，如耙子，同心耙，和辐条（rakes, concentric rakes, and spokes）用于图像中所表现出了边。他们可以精确地定位物体边缘的位置。可以使用边缘检测来进行部件宽度一类的测量， 这一技术被称为卡尺。也可以综合多条边来计算交点、投射、适合的园或椭圆。(Image acquisitionThe measurement is based on the features of the object in the image. Image processing algorithms usually use the information contained in the image to classify, such as edges, surfaces, or shapes. Different types of machine vision algorithms affect and extract one or more information.
Edge detection and its derivative technology, such as concentric rake, rake, and spokes (rakes, concentric rakes, and spokes) for the image shown in the side. They can accurately locate the position of the edge of the object. The edge detection can be used to measure the width of a component, which is called a caliper. It is also possible to integrate multiple edges to calculate the intersection, projection, suitable orchards or ellipses.) Platform: |
Size: 36864 |
Author:Torymation
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Description: 测量是基于图像中物体的特征。图像处理算法通常使用图像中包含的信息进行分类，如边缘、表面或形状。不同类型的机器视觉算法影响和提取一个或多个信息。
边缘检测及其衍生技术，如同心的耙，耙，和辐条（耙、同心耙、和辐条）在球队中显示的图像。它们可以精确地定位物体边缘的位置。边缘检测可以用来测量一个分量的宽度，称为卡尺。还可以集成多个边来计算交点、投影、合适的果园或椭圆。(The measurement is based on the features of the object in the image. Image processing algorithms usually use the information contained in the image to classify, such as edges, surfaces, or shapes. Different types of machine vision algorithms affect and extract one or more information.
Edge detection and its derivative technology, such as concentric rake, rake, and spokes (rakes, concentric rakes, and spokes) for the image shown in the side. They can accurately locate the position of the edge of the object. The edge detection can be used to measure the width of a component, which is called a caliper. It is also possible to integrate multiple edges to calculate the intersection, projection, suitable orchards or ellipses.) Platform: |
Size: 22528 |
Author:Torymation
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