<title>Binary image filtering under noise distribution constraints</title>

Binary image filtering for object detection based on Haar feature density map

2017 International Conference on Robotics and Machine Vision ◽

10.1117/12.2300505 ◽

2017 ◽

Cited By ~ 1

Author(s):

Chengqi Li ◽

Zhigang Ren ◽

Bo Yang

Keyword(s):

Object Detection ◽

Image Filtering ◽

Binary Image ◽

Haar Feature ◽

Density Map

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A Novel Binary Image Filtering Algorithm Based on Information Entropy

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1714035 ◽

2006 ◽

Author(s):

Junyi Zuo ◽

Chunhui Zhao ◽

Quan Pan ◽

Wei Lian

Keyword(s):

Information Entropy ◽

Image Filtering ◽

Binary Image ◽

Filtering Algorithm

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New binary image filtering method based on a modified perceptron training algorithm

10.1117/12.271142 ◽

1997 ◽

Author(s):

Octavian V. Sarca ◽

Jaakko T. Astola

Keyword(s):

Image Filtering ◽

Binary Image ◽

Training Algorithm ◽

Filtering Method

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A 51.3-TOPS/W, 134.4-GOPS In-Memory Binary Image Filtering in 65-nm CMOS

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2021.3098539 ◽

2021 ◽

pp. 1-1

Author(s):

Sumon Kumar Bose ◽

Deepak Singla ◽

Arindam Basu

Keyword(s):

Image Filtering ◽

Binary Image

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Application of Fractal Compression Methods for Image Filtering;

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v59.i12.150 ◽

2003 ◽

Vol 59 (1-2) ◽

pp. 143-150

Author(s):

I. V. Barishev ◽

M. L. Uss

Keyword(s):

Image Filtering ◽

Fractal Compression

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Replication of a Binary Image on a One-Dimensional Cellular Automaton with Linear Rules

Complex Systems ◽

10.25088/complexsystems.27.4.415 ◽

2018 ◽

Vol 27 (4) ◽

pp. 415-430

Author(s):

U Srinivasa Rao ◽

Jeganathan L ◽

Keyword(s):

Cellular Automaton ◽

Binary Image ◽

One Dimensional

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Local description and retrieval method for binary image contour

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00065 ◽

2010 ◽

Vol 30 (1) ◽

pp. 65-67 ◽

Cited By ~ 2

Author(s):

Xiao-dong YANG ◽

Ling-da WU ◽

Yu-xiang XIE ◽

Zheng YANG ◽

Wen ZHOU

Keyword(s):

Binary Image ◽

Retrieval Method ◽

Local Description ◽

Image Contour

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Color image filtering algorithm based on neighborhood Mean-Shift

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.00386 ◽

2011 ◽

Vol 31 (2) ◽

pp. 386-389

Author(s):

Xi-ping HE

Keyword(s):

Color Image ◽

Mean Shift ◽

Image Filtering ◽

Filtering Algorithm ◽

Color Image Filtering

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Discussions on applications of Arnold transformation in binary image scrambling

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING ◽

10.3724/sp.j.1249.2015.04428 ◽

2015 ◽

Vol 32 (4) ◽

pp. 428

Author(s):

Rijun Liao ◽

Xiongjun Li ◽

Jianjie Xu ◽

Jinlong Li ◽

Jianbiao Xian ◽

...

Keyword(s):

Binary Image ◽

Image Scrambling ◽

Arnold Transformation

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ABOUT INVARIANCE OF ANGLE NOISE DISTRIBUTION PARAMETERS BY AN ARBITRARY N-POINT GEOMETRIC MODEL TO VIEWING ANGLE

Issues of radio electronics ◽

10.21778/2218-5453-2019-4-32-35 ◽

2019 ◽

pp. 32-35

Author(s):

V. V. Artyushenko ◽

A. V. Nikulin

Keyword(s):

Regular Polygon ◽

Geometric Model ◽

Sea Surface ◽

Noise Distribution ◽

Viewing Angle ◽

Distributed Objects ◽

Software Complex ◽

The Earth ◽

Distribution Parameters ◽

Equal Power

In this article we consider a problem of reliable modeling of echo signals and angle noise of distributed objects using twodimensional geometric models with random statistically unrelated signals. The conditions that ensure the invariance of distribution parameters of the angle noise generated by an arbitrary N-point configuration of a two-dimensional geometric model are obtained. In the particular case of a model whose emitters are supplied with signals of equal power, the conditions of invariance are reduced to the location of the model points on the plane in the form of a regular polygon. These results can be used to synthesize mathematical models used for simulating reflections from distributed objects and for developing a hardware-software complex for the simulation of electromagnetic fields reflected from the Earth surface, atmospheric inhomogeneities, the sea surface, etc.

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