A VLSI architecture of color model-based tonsillitis detection

Phensadsaeng, Pranithan; Chiracharit, Werapon; Chamnongthai, Kosin

doi:10.1109/iscit.2009.5341156

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Medical Image Based Research1

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Cited by 4 publications

(3 citation statements)

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“…The image size is fixed to 128 x 128. Thus each input image will be resized and converted to grayscale image (figure (5) (6) …”

Section: Resultsmentioning

confidence: 99%

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VHDL Design for Image Segmentation using Gabor filter for Disease Detection

Thakur¹

2012

VLSICS

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“…The image size is fixed to 128 x 128. Thus each input image will be resized and converted to grayscale image (figure (5) (6) …”

Section: Resultsmentioning

confidence: 99%

“…For this purpose a customized 2D Gabor Filter for RGB color image [6] segmentation will be designed. It has proved to be an effective segmentation tool with improved data transfer rate, efficient noise reduction, less power consumption and reduced memory usage .Gabor function [7] locates the texture features in the spatial domain.…”

Section: Introductionmentioning

confidence: 99%

VHDL Design for Image Segmentation using Gabor filter for Disease Detection

Thakur¹

2012

VLSICS

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“…These sequels can be prevented by early diagnosis of disease and finding out the causative pathogens. To improve data transfer rates, Pranithan Phensadsaeng et al [96] proposed VLSI architecture by using color model for early-state tonsillitis detection. Anusha Achuthan et al [97]presented a new segmentation method that integrates a wavelet based feature, which is able to enhance the dissimilarity between regions with low variations in intensity.…”

Section: Medical Image Based Researchmentioning

confidence: 99%

Review of Graph, Medical and Color Image base Segmentation Techniques

Baldevbhai¹

2012

IOSRJEEE

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This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them.It discusses Graph based methods, Medical image segmentation research papers and Color Image based Segmentation Techniques. With the growing research on image segmentation, it has become important to categorise the research outcomes and provide readers with an overview of the existing segmentation techniques in each category. In this paper, different image segmentation techniques starting from graph based approach to color image segmentation and medical image segmentation, which covers the application of both techniques, are reviewed.Information about open source software packages for image segmentation and standard databases are provided. Finally, summaries and review of research work for image segmentation techniques along with quantitative comparisons for assessing the segmentation results with different parameters are represented in tabular format, which are the extracts of many research papers.

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The Design and Implementation of an Automatic Tonsillitis Monitoring and Detection System

Phensadsaeng

Chamnongthai

2017

IEEE Access

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A VLSI architecture of color model-based tonsillitis detection

Cited by 4 publications

References 19 publications

VHDL Design for Image Segmentation using Gabor filter for Disease Detection

VHDL Design for Image Segmentation using Gabor filter for Disease Detection

Review of Graph, Medical and Color Image base Segmentation Techniques

The Design and Implementation of an Automatic Tonsillitis Monitoring and Detection System

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