A. Vijaya Lakshmi

Dr. A. Vijaya Lakshmi


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 November 2021 in Analog Integrated Circuits and Signal Processing
Verified
Journal Article
Closed access
PDF file
VDV N Koteswara Rao Devana
V N Koteswara Rao Devana
VSVella Satyanarayana
Vella Satyanarayana
ALA. Vijaya Lakshmi
A. Vijaya Lakshmi
YSY. Sukanya
Y. Sukanya
CKCh. Manohar Kumar
Ch. Manohar Kumar
JKJagadeesh Babu Kamili
Jagadeesh Babu Kamili

2 June 2023
Verified
Book Chapter
Closed access
PDF file
PGP. Ajay Kumar Goud
P. Ajay Kumar Goud
GRG. Mohit Raj
G. Mohit Raj
KRK. Rahul
K. Rahul
ALA. Vijaya Lakshmi
A. Vijaya Lakshmi

2 November 2022 in Microprocessors and Microsystems
Verified
Journal Article
Closed access
ALA.Vijaya Lakshmi
A.Vijaya Lakshmi
PMP. Mohanaiah
P. Mohanaiah

5 November 2025 in Wireless Networks
Verified
Journal Article
Closed access
PDF file
CDC. Peter Devadoss
C. Peter Devadoss
ABA. Beno
A. Beno
VDV N Koteswara Rao Devana
V N Koteswara Rao Devana
ALA. Vijaya Lakshmi
A. Vijaya Lakshmi
VPV. L. N. Phani Ponnapalli
V. L. N. Phani Ponnapalli
VPVIJAYA KUMAR PADARTI
VIJAYA KUMAR PADARTI

2 June 2023
Verified
Book Chapter
Closed access
PDF file
ALA. Vijaya Lakshmi
A. Vijaya Lakshmi
PGP. Ajay Kumar Goud
P. Ajay Kumar Goud
GRG. Mohit Raj
G. Mohit Raj
KRK. Rahul
K. Rahul

5 June 2021 in Revista Gestão Inovação e Tecnologias
Verified
Journal Article
Open access
PDF file
ALA. Vijaya Lakshmi
A. Vijaya Lakshmi
VSVella Satynarayana
Vella Satynarayana
DMDr.P. Mohanaiah
Dr.P. Mohanaiah
The uncontrollable cells growth in the brain portion is the main reason for cancer deaths nowadays. So, effective detection of brain tumors is more important in the medical field to analyze the tumor portion. Detecting tumors prior and diagnosis of tumors can play a major role in preventing human death due to brain tumors. To detect the tumor portion, many segmentation and classification methods have been proposed. For the effect segmentation process, enhancing brain images is necessary. In this present paper, Magnetic resonance imaging (MRI) brain images have been taken as test images. The proposed enhancement method has two major phases. The first phase contains a regularization process in two steps to equalize the test images' intensities, and the second phase contains a mapping process of two steps to enhance the contrast of the image and remap their intensity values to the natural dynamic range.