Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
The Cascaded Hough Transform as an Aid in Aerial Image Interpretation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Spatial and spectral methods for weed detection and localization
EURASIP Journal on Applied Signal Processing
Regions adjacency graph applied to color image segmentation
IEEE Transactions on Image Processing
Mean-shift-based color segmentation of images containing green vegetation
Computers and Electronics in Agriculture
Analysis of natural images processing for the extraction of agricultural elements
Image and Vision Computing
Classification of Bidens in wheat farms
International Journal of Computer Applications in Technology
Review: Sensing technologies for precision specialty crop production
Computers and Electronics in Agriculture
Original paper: Automatic segmentation of relevant textures in agricultural images
Computers and Electronics in Agriculture
Original paper: Real-time image processing for crop/weed discrimination in maize fields
Computers and Electronics in Agriculture
Original papers: A feature extraction software tool for agricultural object-based image analysis
Computers and Electronics in Agriculture
Support Vector Machines for crop/weeds identification in maize fields
Expert Systems with Applications: An International Journal
Automatic detection of crop rows in maize fields with high weeds pressure
Expert Systems with Applications: An International Journal
Automatic expert system for weeds/crops identification in images from maize fields
Expert Systems with Applications: An International Journal
Automatic expert system based on images for accuracy crop row detection in maize fields
Expert Systems with Applications: An International Journal
A new Expert System for greenness identification in agricultural images
Expert Systems with Applications: An International Journal
Estimating plant growth parameters using an energy minimization-based stereovision model
Computers and Electronics in Agriculture
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This paper presents a general method for weed infestation rate estimation for perspective wide-view images dedicated to real-time precision spraying. A colour camera was positioned above crop fields in order to get a wide angle view of crop rows in perspective. Before to test it on in-field images, the algorithm has been optimized on simulated images and its robustness face to different weed infestation rates is analysed. The proposed method can be divided into the two following steps. Firstly a crop row detection is performed from the identification of the vanishing point taking the opportunity of the perspective geometry of the scene. Hence, an algorithm based on a double Hough transform (DHT) is applied. Afterwards, the discrimination between crop and weeds is done by a region-based segmentation method using a blob colouring analysis. The DHT was proved to be applicable to different perspective angles and different spatial frequencies of crop seedlings. Based on the geometrical properties of the scene, the results showed that the DHT has been proved to be a reliable crop row detection method but the crop/weed discrimination algorithm needs to be optimized. The discussion focuses on the efficiency and the limits of this spatial method.