Description: 一个图象处理处理程序,可实现边缘检测,轮廓提取,模板匹配,Hough变换,投影,图象复原,阀植分割,等功能,自己去研究吧,还有更多功能-an image processing and handling procedures can be realized edge detection, contour extraction, template matching, Hough transform, Projection, image recovery, valve plant segmentation, and other functions, to study it themselves, but more functional Platform: |
Size: 2128036 |
Author:李大家 |
Hits:
Description: 一个图象处理处理程序,可实现边缘检测,轮廓提取,模板匹配,Hough变换,投影,图象复原,阀植分割,等功能,自己去研究吧,还有更多功能-an image processing and handling procedures can be realized edge detection, contour extraction, template matching, Hough transform, Projection, image recovery, valve plant segmentation, and other functions, to study it themselves, but more functional Platform: |
Size: 2127872 |
Author:李大家 |
Hits:
Description: 这是基于vc++的最优化单纯型算法，解决合理分配采油厂产量的问题-This is based on vc++ optimization simplex algorithm to solve a rational allocation of oil extraction plant production problems Platform: |
Size: 9216 |
Author:申健 |
Hits:
Description: 火电厂抽取式烟气监测分析系统维护方法的新探索Thermal power plant flue gas monitoring and analysis system for extraction type maintenance new method exploration-Thermal power plant flue gas monitoring and analysis system for extraction type maintenance new method exploration Platform: |
Size: 236544 |
Author:wy88 |
Hits:
Description: 火电厂机组效率计算公式，八级抽汽二次再热，再热点为第二第三级。-Power plant unit efficiency calculation formula of 8 second reheat extraction, hot spot for the second and third level again. Platform: |
Size: 1024 |
Author:鸟蛋 |
Hits:
Description: 用图像处理、植物病理学、色度学、几何特征、距离特征等方面的知识,研究了作物病害受害程度的检测,以生产中常见的玉米小斑病、水稻纹枯病、水稻稻瘟病为研究对象,经过图像预处理后提取作物的颜色特征、几何特征、距离特征,建立了作物危害程度检测模型-With knowledge of image processing, plant pathology, colorimetry, geometry, distance characteristics and other aspects of the study to detect crop diseases injured degree, to produce common maydis, rice sheath blight, rice blast is study, after image preprocessing feature extraction crop color, geometry, distance characteristics, the establishment of a degree of harm crop detection model Platform: |
Size: 12102656 |
Author:blwang |
Hits:
Description: 基于叶片数字图像的植物识别是自动植物分类研究的热点。但是随着植物种类的增加，传统的分类方法由 于提取的特征比较单一或者分类器结构过于简单，导致叶片识别率较低。为此，本文提出使用纹理特征结合形状 特征进行识别，并且使用深度信念网络构架作为分类器。纹理特征通过局部二值模式、Gabor 滤波和灰度共生矩阵 方法得到。而形状特征向量由 Hu 氏不变量和傅里叶描述子组成。为了避免过拟合现象，使用“dropout”方法训练 深度信念网络。这种基于多特征融合的深度信念网络的植物识别方法-Plant based on digital image recognition is a hotspot of research on automatic classification.But with the increase of plant species, the traditional classification method by the extraction of characteristics or more single classifier structure is too simple, leading to a lower leaf recognition rate.To this end, this paper proposes using the texture characteristics in combination with characteristics of shape, which can identify the belief network architecture and using the depth as a classifier.Texture characteristics by local binary pattern, Gabor filter and gray level co-occurrence matrix method.And shape characteristic vector by Hu s invariant and the Fourier descriptor.In order to avoid over fitting phenomenon, dropout method is used to train deep belief networks.This belief network based on feature fusion depth plant identification method Platform: |
Size: 377856 |
Author:hahah |
Hits:
Description: ：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提
出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练-plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper
A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi Platform: |
Size: 573440 |
Author:hahah |
Hits:
Description: 植物虫害检测（GUI，注释，svm算法）
该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。
train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练
test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别
colorMom.m 颜色矩特征提取
Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm)
The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes.
Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them
Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category
Colormom. M color moment feature extraction
Gabor u Palm. M Gabor texture feature extraction) Platform: |
Size: 6463488 |
Author:for Matlab |
Hits:
Search - plant extraction