Journal ArticleDOI
Mean-shift-based color segmentation of images containing green vegetation
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TLDR
In this paper, a mean-shift segmentation method was proposed to improve the segmentation rate of the images containing green vegetation by introducing a mean shift procedure into segmentation algorithm.About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2009-01-01. It has received 147 citations till now. The article focuses on the topics: Scale-space segmentation & Hue.read more
Citations
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Journal ArticleDOI
A survey of image processing techniques for plant extraction and segmentation in the field
TL;DR: A detailed discussion of the segmentation performance of colour index-based approaches is presented, based on studies from the literature conducted in the recent past, particularly from 2008 to 2015.
Journal ArticleDOI
A review on weed detection using ground-based machine vision and image processing techniques
TL;DR: This review summarized the advances of weed detection using ground-based machine vision and image processing techniques and application of conventional machine learning-based and recently developed deep learning- based approaches for weed detection were presented.
Journal ArticleDOI
Original paper: Automatic segmentation of relevant textures in agricultural images
María Guijarro,Gonzalo Pajares,I. Riomoros,P. J. Herrera,Xavier P. Burgos-Artizzu,Angela Ribeiro +5 more
TL;DR: A new automatic approach is proposed for segmenting these main textures of green plants, soil and sky and also to refine the identification of sub-textures inside the main ones, that exploits the performance of existing strategies by combining them.
Journal ArticleDOI
Original paper: Real-time image processing for crop/weed discrimination in maize fields
TL;DR: A computer vision system that successfully discriminates between weed patches and crop rows under uncontrolled lighting in real-time and has been shown to produce acceptable results even under very difficult conditions.
Journal ArticleDOI
Support Vector Machines for crop/weeds identification in maize fields
TL;DR: A new method based on Support Vector Machines for identifying plants with green spectral components masked and unmasked is proposed, valid for post-treatment evaluation, where loss of greenness in weeds is identified with the effectiveness of the treatment and in crops with damage or masking.
References
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Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Book
Learning internal representations by error propagation
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
Journal ArticleDOI
Mean shift: a robust approach toward feature space analysis
Dorin Comaniciu,Peter Meer +1 more
TL;DR: It is proved the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density.
Book
Image Processing: Analysis and Machine Vision
TL;DR: The digitized image and its properties are studied, including shape representation and description, and linear discrete image transforms, and texture analysis.
Journal ArticleDOI
Mean shift, mode seeking, and clustering
TL;DR: Mean shift, a simple interactive procedure that shifts each data point to the average of data points in its neighborhood is generalized and analyzed and makes some k-means like clustering algorithms its special cases.