Image Segmentation Based on Framework of Two-dimensional Histogram and Class Variance Criterion

Nie, Fangyan; Zhang, Pingfeng

doi:10.14257/ijsip.2015.8.7.08

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The main reason for the thresholding application is to extract the main information against the background noise [27][28][29][30]. Thresholding in image processing is normally categorised as global and local thresholding.…”

Section: Thresholding-otsu's Methodsmentioning

confidence: 99%

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Volume of Interest-Based Fractal Analysis of Huffaz’s Brain

et al. 2022

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The robust process in memorising the Quran is expected to cause neuroplasticity changes in the brain. To date, the analysis of neuroplasticity is limited in binary images because greyscale analysis requires the usage of more robust processing techniques. This research work aims to explore and characterise the complexity of textual memorisation brain structures using fractal analysis between huffaz and non-huffaz applying global box-counting, global Fourier fractal dimension (FFD), and volume of interest (VOI)-based analysis. The study recruited 47 participants from IIUM Kuantan Campus. The huffaz group had their 18 months of systematic memorisation training. The brain images were acquired by using MRI. Global box-counting and FFD analysis were conducted on the brain. Magnetic resonance imaging (MRI) found no significant statistical difference between brains of huffaz and non-huffaz. VOI-based analysis found nine significant areas: two for box-counting analysis (angular gyrus and medial temporal gyrus), six for FFD analysis (BA20, BA30, anterior cingulate, fusiform gyrus, inferior temporal gyrus, and frontal lobe), and only a single area (BA33) showed significant volume differences between huffaz and non-huffaz. The results have highlighted the sensitivity of VOI-based analysis because of its local nature, as compared to the global analysis by box-counting and FFD.

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Section: Thresholding-otsu's Methodsmentioning

confidence: 99%

“…The binarisation may also cause loss of information from the original greyscale images. Thresholding may also fail to eliminate the presence of background noise from the foreground pixel since it depends on a single histogram to determine the threshold level [28].…”

Section: Global Binary Analysismentioning

confidence: 99%

Volume of Interest-Based Fractal Analysis of Huffaz’s Brain

et al. 2022

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Defective object classification using advanced optimization technique

Sahoo¹,

Saidulu²,

Prasad³

2021

Materials Today: Proceedings

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An Artificial Intelligent Centered Object Inspection System Using Crucial Images

Sahoo

Choudhury

2018

International Journal of Rough Sets and Data Analysis

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This article proposes a unique optimization algorithm like Adaptive Cuckoo Search (AdCS) algorithm followed by an Intrinsic Discriminant Analysis (IDA) to design an intelligent object classifier for inspection of defective object like bottle in a manufacturing unit. By using this methodology the response time is very faster than the other techniques. The projected scheme is authenticated using different bench mark test functions along with an effective inspection procedure for identification of bottle by using AdCS, Principal-Component-Analysis (PCA) and IDA. Due to this the projected procedures terms as PCA+IDA for dimension reduction in addition to this AdCS-IDA for classification or identification of defective bottles. The analyzed response obtained from by an application of AdCS algorithm followed by IDA and compared to other algorithm like Least-Square-Support-Vector-Machine (LSSVM), Linear Kernel Radial-Basic-Function (RBF) to the proposed model, the earlier applied scheme reveals the remarkable performance.

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Image Segmentation Based on Framework of Two-dimensional Histogram and Class Variance Criterion

Cited by 5 publications

References 9 publications

Volume of Interest-Based Fractal Analysis of Huffaz’s Brain

Volume of Interest-Based Fractal Analysis of Huffaz’s Brain

Defective object classification using advanced optimization technique

An Artificial Intelligent Centered Object Inspection System Using Crucial Images

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