Description: BP神经网络的一个应用示例：水果识别。先学习，然后根据输入的三个0，1值用BP神经网络计算出结果。-Neural Network Application Example 1 : Recognition fruit. First learn, and then import the 3 0, with a value of BP neural network calculation result. Platform: |
Size: 130199 |
Author:姜景捷 |
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Description: BP神经网络的一个应用示例：水果识别。先学习，然后根据输入的三个0，1值用BP神经网络计算出结果。-Neural Network Application Example 1 : Recognition fruit. First learn, and then import the 3 0, with a value of BP neural network calculation result. Platform: |
Size: 182272 |
Author:姜景捷 |
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Description: 图像的特征识别技术，是机器视觉和计算机图像识别的好教程。
所谓图像特征，换句话说就是图像中的物体有什么样的特征。图中有几个水果。要想从该图像中把香蕉提取出来，必须告诉计算机要提取什么样的物体。例如，应把香蕉的特征之一——细而长告诉给计算机。也就是说，要指示图像中物体的形状、大小等特征。即告诉计算机要提取的物体是大物体或是圆的、方的等。这时，就 要使用“大小”、“圆度”等表示物体形状的参数。
-The characteristics of image recognition technology, is a machine vision and computer image recognition of a good tutorial. The so-called image features, in other words is the image of objects, what kind of characteristics. There are several fruit map. Order from the images extracted from the banana, we must tell the computer what to extract objects. For example, should be one of the characteristics of the banana- thin and long to tell to the computer. In other words, to instruct the image object shape, size and other characteristics. That is, to tell the computer to extract the object is large or round objects, such as side. At this time, it is necessary to use the size , roundness that objects such as shape parameters. Platform: |
Size: 155648 |
Author:yezi |
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Description: 在草图符号的自适应学习中，不同用户的训练样本数量可能不同，保持在不同样本数量下良好的学习效
果成为需要解决的一个重要问题．提出一种自适应的草图符号识别方法，该方法采用与训练样本个数相关的分类
器组合策略将模板匹配方法和SVM统计分类方法进行了高效组合．它通过利用支持小样本学习的模板匹配方法
和支持大量样本学习的SVM 方法，并同时利用草图符号中的在线信息和离线信息，实现了不同样本个数下自适应
的符号学习和识别．基于该方法，文中设计并实现了支持自适应识别的草图符号组件．最后，利用扩展的PIBG
Toolkit开发出原型系统IdeaNote．评估表明，该方法可以在24类草图符号分别使用1到2O个训练样本时具有较
高的识别正确率和较好的时间性能．-In the sketch symbol adaptive learning, the number of training samples of different users may be different, to keep the number of samples under different good learning effect
Fruit become an important issue to be resolved. The draft plan proposed an adaptive character recognition method using the number associated with the classification of training samples
Combination strategy will be the template matching method and SVM classification method was efficient statistical combination. It supports a small sample study by using a template matching method
And support a large number of samples to learn the SVM method, and sketch symbols while using online information and offline information and achieve a number of different samples of adaptive
Learning and recognition of symbols. Based on this method, the paper designed and implemented to support adaptive sketch recognition symbol components. Finally, using the extended PIBG
Toolkit developed a prototype system IdeaNote. Is shown th Platform: |
Size: 626688 |
Author:郭事业 |
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Description: 自己做的水果识别matlab程序以及gui界面设计，附带图片。程序中有详细解释。-Own fruit recognition matlab program gui interface design, with pictures. The program has a detailed explanation. Platform: |
Size: 6436864 |
Author:杨昌健 |
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Description: 基于机器视觉的苹果检测与识别关键技术研究
本文以自然场景下的苹果果实为研究对象，对果实采
摘机器人采摘过程中苹果的检测与识别进行了研究，在机器视觉技术上提出一种新的圆
形检测算法，有效的实现了苹果特征提取。-Apple detection based on machine vision and identification of key technologies Taking apple fruit under natural scene for the study of the process of picking the fruit apple picking robot detection and recognition has been studied in machine vision technology presents a new round shape detection algorithm, effectively achieve the Apple feature extraction. Platform: |
Size: 2507776 |
Author:tanzheng |
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Description: 根据水果的属性来识别水果种类的C++程序，结构简单，容易操作-According to the fruit attributes to identify the types of c++ programs, simple structure, easy to operate Platform: |
Size: 301056 |
Author:summer |
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Description: MATLAB编写的水果识别程序，可测试多幅图片，绝对可用。配有完整代码，报告，图片。帮助理解图像处理，识别的好例子。-MATLAB prepared fruit recognition program can test multiple pictures, absolutely free. With complete code, reports, and pictures. Help understand the image processing, a good example of recognition. Platform: |
Size: 2330624 |
Author:luyao |
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Description: 文件包含了一个关于水果识别的例子包括图像识别处理对模式识别的学习很有帮助-File contains an example about fruit recognition including image recognition processing study is very helpful to pattern recognition Platform: |
Size: 515072 |
Author:wy |
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Description: 基于图像处理，vc++平台的水果识别。通过亮度调整，梯度处理，边缘图像，边界跟踪，计算颜色形状等，计算出结果。-Based on image processing, fruit recognition vc++ platform. Through the brightness adjustment, gradient, edge image, boundary tracking, calculation of color shape, the calculated results.
Platform: |
Size: 5970944 |
Author:张文波 |
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Description: 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.) Platform: |
Size: 1394688 |
Author:Last minute |
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Description: 基于matlab的水果识别系统，含报告，源码(Fruit recognition system based on matlab, including report, source code) Platform: |
Size: 1777664 |
Author:我不是圣人 |
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Search - fruit recognition