1.
Algorithmic Division at Weeds Image Based on Two-dimensional Histogram
基于二维直方图的杂草图像分割算法
2.
Image Identification of Corn and Weed Based on Fractal Dimension
基于分形维数的玉米和杂草图像识别
3.
Research of Feature Extraction and Recognition Method of Weed Image Based on Machine Vision;
基于机器视觉的杂草图像特征提取及识别研究
4.
Image recognition of green weeds in cotton fields based on color feature
基于颜色特征的棉田绿色杂草图像识别方法
5.
Reasearch on Method of Identifying Field Weed Applying Image Processing Technology;
应用图像处理技术识别田间杂草方法的研究
6.
Research on Weeds Identification in Cotton Fileds Based on Multi-spectral Images Machine Vision;
基于多光谱图像机器视觉的棉田杂草识别研究
7.
The Research of Identifying Algorithm and Image Features Optimization in Weed Identification;
杂草识别中图像特征的优化及识别算法的研究
8.
Research on Influencing Factors of Image Segmentation for Crop and Weed Identification;
作物与杂草识别中图像分割影响因素的研究
9.
The Research on Image Processing Methods of Identification Weeds and Soil Background;
识别杂草和土壤背景的图像处理方法研究
10.
Research on Weeds Identification Technique Based on Image Processing
基于图像处理的杂草种类识别技术研究
11.
Research Recognition Parameter of Weed Leaf Based on Image Processing
基于图像处理的杂草叶片识别参数研究
12.
Research of weed feature extraction method based on image processing technology
基于图像处理技术的杂草特征提取方法研究
13.
The Application of Iterative Algorithm of Picture Division in Weed Recognition
图像分割技术之迭代算法在杂草识别中的应用
14.
Study of Crop and Weed Recognition Based on Vis/NIR Spectroscopy and Multi-spectral Digital Image Processing;
基于光谱和多光谱数字图像的作物与杂草识别方法研究
15.
Reasearch on Method of Identifying Weed in Corn Seedling Field Applying Image Processing Technology;
基于数字图像处理玉米苗期田间杂草识别方法的研究
16.
Image·Discipline·Poetics--Unscrambling the image of the birds-beasts-vegetation in "the Book of Songs";
图像·规训·诗学——《诗经》鸟兽草木图像发微
17.
The image is processed in the computer and the result is the density of weed in the image, which control the spraying of herbicide.
采集的图像在计算机中进行处理，处理的结果是图像中杂草的分布密度，以此来控制除草剂的喷洒。
18.
A method to evaluate the indices of gray level ratios of crop,weed and soil in images was also defined in this paper.
文中同时给出了评价作物、杂草和土壤在图像中灰度比值指标的方法。