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» Thresholds for Object-Oriented Measures
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ICIP
2008
IEEE
14 years 3 months ago
Supporting range and segment-based hysteresis thresholding in edge detection
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches use gradient magnitude as ...
Lu Wang, Suya You, Ulrich Neumann
ECCC
2006
107views more  ECCC 2006»
13 years 8 months ago
Energy Complexity and Entropy of Threshold Circuits
Abstract. Circuits composed of threshold gates (McCulloch-Pitts neurons, or perceptrons) are simplified models of neural circuits with the advantage that they are theoretically mor...
Wolfgang Maass, Kei Uchizawa, Rodney J. Douglas
ICDAR
2009
IEEE
14 years 3 months ago
Manuscript Bleed-through Removal via Hysteresis Thresholding
Many types of degradation can render ancient manuscripts very hard to read. In bleed-through, the text from the reverse, or verso, side of a page seeps through into the front, or ...
Rolando Estrada, Carlo Tomasi
PRL
2006
249views more  PRL 2006»
13 years 8 months ago
Image segmentation by histogram thresholding using hierarchical cluster analysis
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class vari...
Agus Zainal Arifin, Akira Asano
AICT
2006
IEEE
129views Communications» more  AICT 2006»
14 years 9 days ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta