Stan Miklavcic

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In this paper a method for automatic detection of root crowns in root images, are designed, implemented and quantitatively compared. The approach is based on the theory of statistical learning. The root images are preprocessed with algorithms for intensity normalization, segmentation, edge detection and scale space corner detection. The features used in the(More)
In this paper we propose a twin mirror-based system for reconstructing 3D models of real plants for subsequent phenotypic analysis. The method is based on the visual hull concept: multiple reflections of the object from the mirrors give different views of the object and are interpreted as taken from virtual cameras. The epipolar geometry of the object and(More)
In this paper an automatic method for detecting root crowns in root images for plants growing in gellan gum is proposed. In the proposed approach statistics of Zernike moments (ZMs) are used to model the bi-level root crown images and non root crown images. Bi-level image are generated by a process of normalization and segmentation. The statistics of the(More)
Root system architecture (RSA) plays an important role in water and nutrient uptake for plant development and growth and hence in grain yield. In situ studies of RSA root architecture will assist in the characterization of phenotypes for the purpose of identifying genotypes of cereal plants that are more stress tolerant and are producer of higher grain(More)
Ellipse and conic fitting is a highly researched and mature topic in image processing and computer vision. Surprisingly, however, none of the methods have thus far considered eccentricity of data point sets in the fitting of an ellipse. In this paper we show that irrespective of the method used to fit ellipses, the root mean square error (RMSE) of an(More)
It is advantageous but difficult to automatically and accurately estimate parameters of lens models from single images, particularly in internet image processing and thermal image processing. As not all objects have straight edges, it is natural that some edges should be straight and some should be curved in undistorted images. Therefore, the key problem is(More)
In this paper we report on development and analysis of a high throughput 3D reconstruction set-up for reconstructing cereal plants grown in pots for their phenotypic analysis. We are motivated with the idea of accurate and high-throughput reconstruction of shoots. We have developed a turntable setup for high-throughput and high accuracy 3D reconstruction of(More)
We propose an approach to the filtering of infinite sets of stochastic signals, K Y and K X. The known Wiener-type approach cannot be applied to infinite sets of signals. Even in the case when K Y and K X are finite sets, the computational work associated with the Wiener approach becomes unreasonably hard. To avoid such difficulties, a new theory is(More)