A Crop Rows Recognition Based on Hough Transform Using Template Matching
نویسندگان
چکیده
An improved crop rows detection presented based-Hough transform. In the paper, the two argument r q 、 of peaks in Hough space were mapped into the Cartesian coordinate system to extract straight line segments fitting the crop rows, in which the template matching was firstly designed to filter the noises from isolated, or scattering points, then the weighted averaging were employed to eliminate line segments family due to the peaks and pseudo-peaks in Hough space. Experiment results showed that the novel crop rows recognition method could extract perfect crop row line segments from real image with strong noises or disturbance, and it was real-time, robust against great area grass, loss of crop row, or lack of crop row information in real image, with high accuracy and availability.
منابع مشابه
Real-Time Feature Detection Using the Hough Transform
The Hough transform is a well-known pattern recognition technique for finding parametric curves and general shapes in an image. This research demonstrates that it is equally well suited for real-time symbol detection. Both the parametric and generalized Hough transforms produce results of high accuracy and excellent performance in real-time video streams, compared with classical techniques such...
متن کاملCrop-row detection algorithm based on Random Hough Transformation
It is important to detect crop rows accurately for field navigation. In order to spray on line, a variable rate spray system should detect the crop center line accurately. Most existing detection algorithms are slow to detect crop rows because of the complicated calculation. The gradient-based Random Hough Transform algorithm could improve the calculation speed and reduce the computation effect...
متن کاملAutomatic Skew Detection and Localisation of Vehicle License Plate Using Hough Transform
Automatic Skew Detection and Localization of Vehicle License Plate Using Hough Transform are used to identify a vehicle by its number plate. The proposed algorithm consists of three major parts: Extraction of plate region, segmentation of characters and recognition of plate characters. The proposed license plate localization algorithm is based on a combination of several algorithms that include...
متن کاملRotation-discriminating template matching based on Fourier coefficients of radial projections with robustness to scaling and partial occlusion
We consider brightness/contrast-invariant and rotation-discriminating template matching that searches an image to analyze A for a query image Q. We propose to use the complex coefficients of the discrete Fourier transform of the radial projections to compute new rotation-invariant local features. These coefficients can be efficiently obtained via FFT. We classify templates in “stable” and “unst...
متن کاملRobust Iris Recognition in Unconstrained Environments
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...
متن کامل