A one-dimensional slope detection approach
نویسندگان
چکیده
This paper extends the scale-invariant edge detector to the one-dimensional slope. It can accurately detect the slope and estimate its parameters. The method has been verified with several mathematical functions, sample sizes, and noise levels. A contrast-invariant operator is proposed to suppress noise. The inter-sample localization and interpolation greatly improve the accuracy. The proposed slope detector is also suitable for real-world signals. In additional to above-mentioned, a threshold formula is developed for the first derivative slope detector, and the upper-bound of the filterable noise level is also explored.
منابع مشابه
Determining Effective Features for Face Detection Using a Hybrid Feature Approach
Detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. In this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (MLP) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...
متن کاملEffects of geometrical and geomechanical properties on slope stability of open-pit mines using 2D and 3D finite difference methods
Slope stability analysis is one of the most important problems in mining and geotechnical engineering. Ignoring the importance of these problems can lead to significant losses. Selecting an appropriate method to analyze the slope stability requires a proper understanding of how different factors influence the outputs of the analyses. This paper evaluates the effects of considering the real geom...
متن کاملDetection of Fatigue from Electroencephalogram Signal During Neurofeedback Training
Timely diagnosis of fatigue helps to improve the quality and effectiveness of neurofeedback training. Neurofeedback training (NFT) is a method that can change brain activity by altering brain signal fluctuations and teaches individuals to produce or reproduce their brain activity patterns in order to improve performance. Neurofeedback training has been widely utilized over the recent years owi...
متن کاملSLOPE PROFILE MORPHOMETRY AS AN INDICATOR FOR SLOPE MOVEMENT
Two dimensional slope profile morphometric investigation in a part of the land failure prone Garhwal region of the Lesser Himalaya, Tehri district, U. P., India, indicates that the landslip morphology is closely related to the dominant movement processes active in this terrain. Technique developed for the morphometric analysis of landslips involves the use of five morphometric indices. Each ind...
متن کاملAccurate detection of land surface features using Evans and Shary quantitative coefficients (Case study: Gerbaigan Fasa watershed)
Geomorphological zoning of the earth's surface is the basis of land use planning. The first step of land use planning is to determine homogeneous zones of the earth's surface in terms of geomorphological characteristics. Geomorphologically homogeneous areas can be managed in one approach. Ground zoning is the detection of land features by basic surface features such as height, slope, and slope ...
متن کامل