Feature Extraction of Face Recognition Techniques Utilizing Neural System as a Classifier

Rai, Amrita; Shylaja, C. S.; Mishra, Puneet Kumar

doi:10.1007/978-981-16-2857-3_31

Cited by 1 publication

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bordering tiles are then united through bilinear interpolation to abolish theatrically tempted borders. The contrast, particularly in areas of homogenous intensity, is often limited to avoid amplifying noise [9]. Unlike the normal HE, CLAHE restrains the contrast by a clip point to cutoff the peak value of the histogram of each bin.…”

Section: Contrast Limited Adaptive Histogram Equalization (Clahe)mentioning

confidence: 99%

“…These sets of optimization algorithms are called nature-inspired as scholars have established the underneath motivation of these algorithms from several natural phenomena. Counting on the various sources of motivation from nature, these NIOA are largely classified into:(a) Evolutionary Algorithms (EA), (b) Biologyinspired, or Bio-inspired algorithms, (c) Physics and Chemistry based algorithms [8,9]. Several NIOAs have been used for various image processing applications in recent years.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cuckoo Search Constrained Gamma Masking for MRI Image Detail Enhancement

Ojha¹,

Rai²,

Prakash³

et al. 2022

Self Cite

View full text Add to dashboard Cite

Nature-inspired algorithms are widely applied in the arena of image enhancement for various optimization purposes. To address the optimization complexities in various image enhancement approaches, nature-inspired optimization algorithms play a vital role. Cuckoo search is one of the prominent nature-inspired performance algorithms that we employed in this work for the enhancement of magnetic resonance imaging (MRI). We proposed a wavelet-based masking technique employing a cuckoo search algorithm whose masking value is corrected by gamma function for the contrast enhancement of MRI images. The cuckoo search algorithm can inevitably fine-tune the relation of nest building using genetic operatives like adaptive cusp and alteration. The proposed contrast enhancement scheme is examined quantitatively for different types of MRI images. Extensive simulation results compared with quantitative values have revealed that the traditional nest building of cuckoo search optimization is improved by adaptive gamma correction. Comparative analysis with the existing works establishes the usefulness of the proposed methodology over the other standard approaches.

show abstract

Section: Contrast Limited Adaptive Histogram Equalization (Clahe)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%