Exact(6)
In order to have the ability of detecting lines or curves, it is necessary to define functions with directional geometry.
The line removal algorithm, which is used for detecting lines in an image, strips away major lines so that minor lines can become more easily detectable.
The general framework using multiscale derivatives is presented, and the one-to-one Hough dense transforms for detecting lines and circles are evaluated and compared with other variants of Hough transforms, from qualitative and computational points of view.
With this approach, even if several errors occur during detecting lines or recognizing characters, the errors can be corrected by simply replacing unrealistic chemical fragments of a molecule with known sub-structural motifs present in the database of chemical substructures.
Another fundamental advantage of the DHT for detecting lines or circles is the unique determination of the parameter from the spatial derivatives, which allows to perform a one-to-one voting process, thus improving dramatically the global efficiency of the Hough transform.
The HT is effective in detecting lines (longitudinal images) or circles (transverse images), but it may fail in detecting curved vessels.
Similar(54)
In this research, curvelet transform has been employed due to its favorable performance in detecting line feature.
This paper presents a novel algorithm for detecting line and circle features from 2D laser range scans.
In fact, beamlets are more suitable for in the road grouping step instead of detecting line feature directly.
Simulation results of the IEEE 39-, 57- and 118-bus systems verify the effectiveness of the developed methods in detecting line outage locations.
One last step that is used to increase the stability and accuracy of line detection is tracking the detected lines with kalman filter [29].
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