搜索资源列表
FruitPair
- 基于IPHONE平台开发的水果对对碰游戏，其中使用了COCOS2D游戏引擎-fruit game for iphone
test1
- 水果图像识别，利用MATLAB进行图形的特征提取，边缘检测，阈值分割等-Fruit and image recognition, the use of MATLAB for graphics feature extraction, edge detection, thresholding, etc.
df
- 分布式环境的计算，课件的使用，以及各种资源-The research paper of “Segmentation methods of fruit image based on color difference” is mainly about four segmentation methods in fruit-harvesting robot vision, which respectively are dynamic threshold segmentation method, exte
fruit_classification
- fruit classification using neural networks and multilayer perceptrons with matlab
apple
- 很不容易找到的关于水果检测的国外博士论文，文中主要是检测苹果-Very easy to find on the fruit detection of foreign doctoral thesis, the paper is to test the main Apple
matlabtongjishuiguo
- 利用最新高科技（图像处理技术）将水果自动统计。实现了自动化。-Using the latest technology (image processing) will be automatically fruit statistics. Automated.
Fruit-Grading
- This code is for Fruit Grading. It takes the Fruit image and delect its damage parts and then grade it
Fruit-classification-code-
- 用matlab写的水果分类系统源码，很值得学习，-Written by matlab source fruit classification system, it is worth learning,
Fruit
- Dot Matrix Example Code
zizhi
- 水果图像识别,识别不同的水果，将图像进行特征检测，边缘提取，-Fruit and image recognition, recognition of different fruits, the image feature detection, edge extraction,
hough
- hough 变换检测猕猴桃果实，可以对分割出来的二值图中的果实进行定位-hough transform detection of kiwi fruit, you can split the fruit in the binary image to locate
FOAprogram
- FOA求極大值!! 說明: 繼基因算法,蟻群,粒子群算法後,一種新的演化式計算方法-果蠅最佳化演算法(Fruit Fly Optimization Algorithm, FOA),由台灣學者潘文超(2011)所提出,相關論文請參考 Pan, W.T. (2011), “A new fruit fly optimization algorithm: Taking the financial distress model as an example,” Knowledge-Based Sys
fruit-flying-optimization-algorithm
- 本书主要介绍果蝇最佳化演算法，书中的例子主要是基于matlab语言的-This book introduces the the fruit fly optimization algorithms, examples in the book is mainly based on the matlab language
fruit-recognition
- 水果分类 fruit recognition 运行demo即可 这个程序主要是通过对训练样本中的三幅图像提取的颜色信息建立混合高斯模型，然后对目标图像进行测试。 在demo最后一段中，可以替换‘t1.jpg’，以便进行不同图片的识别。 程序运行过程比较慢，请耐心等待。 运行结果是蓝色点聚集的区域是属于橘子的。- fruit recognition
fruit-classify
- 梨，香蕉，西红柿和青椒四种水果混合在一起，对他们进行水果分类-pear，banana,tomato and pepper are mixed togeture ,realize the fruit classify
Fruit Classification-boi
- fruit classification using matlab
Sach Fruit-fly-optimization-algorithm-
- Sach Fruit fly optimization algorithm
fruit flies optimization algorithm
- fruit flies optimization algorithm
fruit-fly-
- improved based fruit fly optimization and published in knowledge based system
Fruit-classification-master
- fruit recognition matlab code