An improved SOM algorithm and its application to color feature extraction

Chen, Liping; Liu, Yiguang; Huang, Zengxi; Shi, Yongtao

doi:10.1007/s00521-013-1416-9

Neural Comput & Applic

2013

DOI: 10.1007/s00521-013-1416-9

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An improved SOM algorithm and its application to color feature extraction

Liping Chen

¹

,

Yiguang Liu

²

,

Zengxi Huang

³

et al.

Abstract: Reducing the redundancy of dominant color features in an image and meanwhile preserving the diversity and quality of extracted colors is of importance in many applications such as image analysis and compression. This paper presents an improved self-organization map (SOM) algorithm namely MFD-SOM and its application to color feature extraction from images. Different from the winner-take-all competitive principle held by conventional SOM algorithms, MFD-SOM prevents, to a certain degree, features of non-principa… Show more

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Cited by 14 publications

(4 citation statements)

References 25 publications

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“…At the same time, too large grid size will also lead to longer classification time and will cause the samples that should belong to a group to continue to be subdivided, resulting in classification distortion. Therefore, when defining the mapping value to determine the grid size, the relationship between the expected classification number and the grid size should be considered [35][36][37]. For the sake of experimental efficiency and scientificity, this experiment uses the extracted five principal components as input vectors, defines the mapping size as 3, and the grid size as 3 × 3.…”

Section: Self-organizing Maps Network Clustering Resultsmentioning

confidence: 99%

A rapid and non‐destructive identification for paper cup evidence based on shifted‐excitation Raman difference spectroscopy and SOM clustering

Tian

¹

,

Jiang

²

,

Zhang

³

2023

Journal of Forensic Sciences

2

0

Get access via publisher Add to collection Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

“…At the same time, too large grid size will also lead to longer classification time and will cause the samples that should belong to a group to continue to be subdivided, resulting in classification distortion. Therefore, when defining the mapping value to determine the grid size, the relationship between the expected classification number and the grid size should be considered [35][36][37]. For the sake of experimental efficiency and scientificity, this experiment uses the extracted five principal components as input vectors, defines the mapping size as 3, and the grid size as 3 × 3.…”

Section: Self-organizing Maps Network Clustering Resultsmentioning

confidence: 99%

A rapid and non‐destructive identification for paper cup evidence based on shifted‐excitation Raman difference spectroscopy and SOM clustering

Tian

¹

,

Jiang

²

,

Zhang

³

2023

Journal of Forensic Sciences

2

0

Get access via publisher Add to collection Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

“…Artificial neural networks are mathematical modeling of the behavior of biological neural networks [45][46][47][48][49][50][51][52][53][54]. These are fewer complex algorithms than biological functioning but are well suited to modeling and solving various problems related to computer vision, chemometry, engineering, etc.…”

Section: Self-organized Mapsmentioning

confidence: 99%

“…Thanks to technological advancement and the wide availability of increasingly powerful and low-cost computers, different algorithms developed for IA are now applied to many sectors, from industry to pure research. These also include the industry of optical microscopy [11][12][13][14][15][16][17][18][45][46][47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Evaluation of Ore Minerals Based on Optical Microscopy and Image Analysis: Preliminary Results

Santoro

¹

,

Lezzerini

²

,

Aquino

³

et al. 2022

Get access via publisher Add to collection Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

“…In [5], L. Chen et al proposed a software implementation of improved SOM algorithm named MFD-SOM. To improve color feature extraction, the authors introduced dynamic adjusting of learning rate and neighbourhood size in function of input data, allowing non-principal components to be more competitive and present in the color codebook at the end of the learning phase.…”

Section: Related Workmentioning

confidence: 99%

A hardware configurable self-organizing map for real-time color quantization

Abadi

¹

,

Jovanović

²

,

Khalifa

³

et al. 2016

2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Get access via publisher Add to collection Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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