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Keishi Hanahara

dblp:14/4916 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1991
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Hardware accelerators and domain-specific architectures · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › image processing accelerator
hough transform processor		 0.021988
A Real-Time Processor for the Hough Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1988
High-speed hough transform processor and its applications to automatic inspection and measurement · ICRA 1986
Hardware accelerators and domain-specific architectures
image processing accelerator		 0.011986
High-speed hough transform processor and its applications to automatic inspection and measurement · ICRA 1986

Methods — techniques the papers use, named apart from their topics

hough transform · 0.0hardware architecture · 0.0
YearPublicationVenuePosition
1991 A circle-detection algorithm simulating wave propagation
Keishi Hanahara, Masao Hiyane
 Mach. Vis. Appl.1
1988 A Real-Time Processor for the Hough Transform
abstract
The Hough transform method for recognition can cope effectively with noisy backgrounds and gaps in boundaries. However, long computation time and large memory requirements have prevented it from being used in real-time applications. An architecture devised to solve those problems, with a focus on detecting straight lines, is presented. Examples are given of the use of an experimental hardware model for automatic inspection and measurement of objects in factories and laboratories. It took less than one second from picture input to straight line parameter reproduction for these examples.>
Keishi Hanahara, Tsugito Maruyama, Takashi Uchiyama
 IEEE Trans. Pattern Anal. Mach. Intell.1
1986 High-speed hough transform processor and its applications to automatic inspection and measurement
abstract
We have developed a processor with dedicated hardware for performing high-speed Hough transforms, to enable real time inspection and measurement of linear boundaries in gray scale images. The Hough transform method for recognition can cope effectively with noisy backgrounds and gaps in boundaries. However, long computation time and large memory requirements have been preventing it from being used in real time applications. This paper presents an architecture devised to solve those problems. It also provides examples of application to automatic inspection and measurement of objects in factories and laboratories. It took less than one second from picture input to straight line parameter reproduction for these examples.
Keishi Hanahara, Tsugito Maruyama, Takashi Uchiyama
 ICRA1