CMOS analog integrated circuit for fuzzy c-means clustering

Garcia-Lamont, Jair; Flores-Nava, L.M.; Gómez-Castañeda, F.; Moreno-Cadenas, J.A.

doi:10.1109/wac.2002.1049585

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…However, most of these algorithms are implemented by software, and only moderate acceleration can be achieved. In [ 9 – 11 ], hardware implementations of FCM are proposed. Nevertheless, the design in [ 9 ] is based on analog circuits.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Fuzzy C-Means Architecture for Image Segmentation

Hwang

Chang

2011

Sensors

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This paper presents a novel VLSI architecture for image segmentation. The architecture is based on the fuzzy c-means algorithm with spatial constraint for reducing the misclassification rate. In the architecture, the usual iterative operations for updating the membership matrix and cluster centroid are merged into one single updating process to evade the large storage requirement. In addition, an efficient pipelined circuit is used for the updating process for accelerating the computational speed. Experimental results show that the the proposed circuit is an effective alternative for real-time image segmentation with low area cost and low misclassification rate.

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Section: Introductionmentioning

confidence: 99%

“…In [ 9 – 11 ], hardware implementations of FCM are proposed. Nevertheless, the design in [ 9 ] is based on analog circuits. The clustering results therefore are difficult to be directly used for digital applications.…”

Section: Introductionmentioning

confidence: 99%

Efficient Fuzzy C-Means Architecture for Image Segmentation

Hwang

Chang

2011

Sensors

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“…The vision chip research may be classified into spatial [2], spatio-temporal [3] and image processing [4]. Within spatial approaches, object position sensors (OPS´s) [5] are one solution to laser-based triangulation systems for distance measurements applications.…”

Section: Introductionmentioning

confidence: 99%

CMOS Vision Chip for Laser Spot Position Detection

Garcia-Lamont

Aleman

2010

2010 IEEE Electronics, Robotics and Automotive Mechanics Conference

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This paper presents a vision chip for laser spot detection. The sensor has an architecture that comprises a 64x64 pixel array with a pixel pitch of 38.6µm x 30.8µm and fill factor of 30% and two position processors that deliver coordinate position for both axes. Under maximum speed condition, power consumption was 103mW, where maximum frame rate was 870000 frames per second. The maximum mismatch between pixels was 3% and maximum position accuracy was 0.013(2∆x).

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“…Most of these algorithms are implemented by software, and only moderate acceleration can be achieved. In [4,9], hardware implementations of FCM are proposed. However, the design in [4] is based on analog circuits.…”

Section: Introductionmentioning

confidence: 99%

“…In [4,9], hardware implementations of FCM are proposed. However, the design in [4] is based on analog circuits. The clustering results therefore are difficult to be directly used for digital applications.…”

Section: Introductionmentioning

confidence: 99%

Efficient VLSI Architecture for Fuzzy C-Means Clustering in Reconfigurable Hardware

Yang

Hwang

2009

2009 Fourth International Conference on Frontier of Computer Science and Technology

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A cost-effective parallel VLSI architecture for fuzzy c-means clustering is presented. The architecture reduces the area cost and computational complexity for membership coefficients and centroid computation by employing lookup table based dividers. The usual iterative operations for updating the membership matrix and cluster centroid are merged into one single updating process to evade the large storage requirement. Experimental results show that the proposed solution is an effective alternative for cluster analysis with low computational cost and high performance.

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CMOS analog integrated circuit for fuzzy c-means clustering

Cited by 5 publications

References 2 publications

Efficient Fuzzy C-Means Architecture for Image Segmentation

Efficient Fuzzy C-Means Architecture for Image Segmentation

CMOS Vision Chip for Laser Spot Position Detection

Efficient VLSI Architecture for Fuzzy C-Means Clustering in Reconfigurable Hardware

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