Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference

Y Hata, S Kobashi, S Hirano… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
This paper proposes an automated procedure for segmenting an magnetic resonance (MR)
image of a human brain based on fuzzy logic. An MR volumetric image composed of many …

Passive imaging based multi-cue hazard detection for spacecraft safe landing

A Huertas, Y Cheng, R Madison - 2006 ieee aerospace …, 2006 - ieeexplore.ieee.org
Accurate assessment of potentially damaging ground hazards during the spacecraft EDL
(entry, descent, and landing) phase is crucial to insure a high probability of safe landing. A …

A fast multilevel thresholding method based on lowpass and highpass filtering

CC Chang, LL Wang - Pattern Recognition Letters, 1997 - Elsevier
A new method of thresholding a gray-scale image into a desired number of classes is
proposed in this paper. The proposed method first evaluates the number of peaks in the …

Continuous, high-resolution biospeckle imaging reveals a discrete zone of activity at the root apex that responds to contact with obstacles

KM Ribeiro, B Barreto, M Pasqual, PJ White… - Annals of …, 2014 - academic.oup.com
Background and Aims Shining a laser onto biological material produces light speckles
termed biospeckles. Patterns of biospeckle activity reflect changes in cell biochemistry …

Automatic extraction of lean-tissue contours for beef quality grading

S Choi, SI Cho, MH Lee, H Hwang - Biosystems engineering, 2009 - Elsevier
In evaluating beef quality, proper extraction of the boundary of lean-tissue from the section of
beef rib is the crucial first step. The quality features of a beef carcass are determined by size …

Image analysis and computer vision: 1996

A Rosenfeld - Computer Vision and Image Understanding, 1997 - Elsevier
This paper presents a bibliography of nearly 2150 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

Automatic local thresholding algorithm for SAR image edge detection

QR Wei, DZ Feng, MD Yuan - 2013 - IET
Using the combined method of thresholding algorithm and nonmaximum suppression, edge-
pixels can be extracted rapidly from the edge strength map gotten by a synthetic aperture …

[PDF][PDF] An effective multilevel thresholding approach using conditional probability entropy and genetic algorithm

Y Chang, H Yan - ACM International Conference Proceeding Series, 2003 - Citeseer
Entropy-based image thresholding are used widely in image processing. Conventional
methods are efficient in the case of bilevel thresholding. But they are very computationally …

Efficient two-level image thresholding method based on Bayesian formulation and the maximum entropy principle

Y Chang, AMN Fu, H Yan, M Zhao - Optical Engineering, 2002 - spiedigitallibrary.org
An efficient method for two-level thresholding is proposed based on the Bayes formula and
the maximum entropy principle, in which no assumptions of the image histogram are made …

Efficient implementation of several multilevel thresholding algorithms using a combinatorial scheme

BF Wu, YL Chen, CC Chiu - International Journal of Computers …, 2006 - Taylor & Francis
In this study, we present a combinatorial scheme for reducing the computation timings of
determining the optimal threshold values in multilevel thresholding. By applying the …