A New Concept for Binary Images: The Kernel

1988 ◽  
pp. 191-196
Author(s):  
M. Lamure ◽  
J. J. Milan
Keyword(s):  
Binary Images

Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images

2021 ◽  
Vol 47 ◽  
pp. 101222
Author(s):  
Akemi Gálvez ◽  
Andrés Iglesias ◽  
José A. Díaz ◽  
Iztok Fister ◽  
Joaquín López ◽  
...  
Keyword(s):  
Bat Algorithm ◽  
Binary Images

scholarly journals Spline-based medial axis transform representation of binary images

2021 ◽  
Author(s):  
Jieying Wang ◽  
Jiří Kosinka ◽  
Alexandru Telea
Keyword(s):  
Medial Axis ◽  
Medial Axis Transform ◽  
Binary Images

Two symmetrical thinning algorithms for 3D binary images, based on -simple points

2007 ◽  
Vol 40 (8) ◽  
pp. 2301-2314 ◽  
Author(s):  
Christophe Lohou ◽  
Gilles Bertrand
Keyword(s):  
Binary Images ◽  
Thinning Algorithms ◽  
Simple Points

scholarly journals Distributed and morphological operation-based data collection algorithm

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771759 ◽  
Author(s):  
Yalin Nie ◽  
Haijun Wang ◽  
Yujie Qin ◽  
Zeyu Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Network Lifetime ◽  
Algorithm Analysis ◽  
Wireless Sensor ◽  
Morphological Operation ◽  
Event Monitoring ◽  
Binary Images ◽  
Structuring Element

When monitoring the environment with wireless sensor networks, the data sensed by the nodes within event backbone regions can adequately represent the events. As a result, identifying event backbone regions is a key issue for wireless sensor networks. With this aim, we propose a distributed and morphological operation-based data collection algorithm. Inspired by the use of morphological erosion and dilation on binary images, the proposed distributed and morphological operation-based data collection algorithm calculates the structuring neighbors of each node based on the structuring element, and it produces an event-monitoring map of structuring neighbors with less cost and then determines whether to erode or not. The remaining nodes that are not eroded become the event backbone nodes and send their sensing data. Moreover, according to the event backbone regions, the sink can approximately recover the complete event regions by the dilation operation. The algorithm analysis and experimental results show that the proposed algorithm can lead to lower overhead, decrease the amount of transmitted data, prolong the network lifetime, and rapidly recover event regions.

Wavelet-based distortion measure for binary images

2013 ◽  
Vol 61 (5) ◽  
pp. 408-418 ◽  
Author(s):  
W-G Kim ◽  
O-J Kwon ◽  
H-S Pang
Keyword(s):  
Binary Images ◽  
Distortion Measure
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