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In computer vision applications based on machine learning algorithms, a ground truth of datasets is necessary for efficient training of classification or data mining algorithms. Due to the increasing computer power, machine vision systems are developed for robotic, medical and industrial applications. This paper puts the main emphasis on the SURF algorithm for agricultural image applications in organic...
As part of a research project, a robot with the ability to distinguish root plants and weeds with various sensors will be developed. The given information is then being used to destroy the weeds automatically. This will help to minimize the use of pesticides, or even completely erase it, thus improving the environmental impact. The first step in this project is to evaluate various sensors to find...
The first step in most image processing mechanisms after recording the sensor data is, to separate the wanted objects from their surroundings. This is especially important for this project, where the examined objects are root plants on an organic farm. The big problem here is the changeable environmental conditions such as dust, rain, fog and light changes. Hence each measurement brings different...
Automatic weed control is always an important issue in organic farming. To remove the weed, it is important to find the root exit point vector of the plants. This paper focuses on the use of different sensor technologies for agricultural applications in organic farming and benchmarks them to each other. Furthermore, this paper proposes different algorithms for the search of the plant root exit point...
In machine vision applications, Time-of-Flight (TOF) sensors like the Photonic Mixer Devices (PMD) became considerable alternatives to common 3D sensing devices. Because of the enormous progress in TOF-vision systems, nowadays 3D matrix cameras can be used for many applications such as robotic, automotive, industrial, medical and multimedia applications. This paper focuses on the use of ToF cameras...
Perception of the environment in 3D has always been an important sensory input for machine vision applications. Stereo vision range sensors have been used for several decades to obtain 3D information of the scene. Still, the major issue involved in the stereo analysis of images is the correspondence problem. In this paper we consider the correspondence problem only for point clouds. The algorithm...
In machine vision applications, Time-of-Flight (TOF) sensors like the Photonic Mixer Devices (PMD) became considerable alternatives to common 3D sensing devices. Because of the enormous progress in TOF-vision systems, nowadays 3D matrix cameras can be used for many applications such as robotic, automotive, industrial, medical and multimedia applications. This paper focuses on the range data resolution...
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