2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS) 2016
DOI: 10.1109/icetets.2016.7603057
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of standard edge detection techniques along with morphological processing and pseudo coloring in sonar image

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…• Fact 1: The statistical measures used are calculated using the vectors 1 M F it and 1 M F it+1 . Since the coordinates of these vectors are contained in the interval [0, 1] due to the normalization caused by the multiplication of the factor 1 M , then all the statistical measures are contained in the interval [0, 1]. In this way, each one of the four addends of f improvement (•, •) can account for a maximum of • Fact 2: If there are no changes between two consecutive generations, then there will be no differences between F it and F it+1 .…”
Section: Mapped Adaptive Rulesmentioning
confidence: 99%
See 1 more Smart Citation
“…• Fact 1: The statistical measures used are calculated using the vectors 1 M F it and 1 M F it+1 . Since the coordinates of these vectors are contained in the interval [0, 1] due to the normalization caused by the multiplication of the factor 1 M , then all the statistical measures are contained in the interval [0, 1]. In this way, each one of the four addends of f improvement (•, •) can account for a maximum of • Fact 2: If there are no changes between two consecutive generations, then there will be no differences between F it and F it+1 .…”
Section: Mapped Adaptive Rulesmentioning
confidence: 99%
“…In these situations, it is common to use the most diverse tools, but the visual analysis is almost always present. For example, we can highlight some recent challenges to detecting edges in sonar images [1], to detecting weapons in baggage [2], to visually analyze medical images [3][4][5][6][7], to conduct visual routines in remote sensing [8,9], to detect crashes in wire ropes [10], among other situations. Still, the human eye is not able to detect many details in an image colored with different shades of the same color [11,12] because the human brain has difficulty in the task of recognizing signals defined by similar frequencies.…”
Section: Introductionmentioning
confidence: 99%