Review of automated computerized methods for brain tumor segmentation and classification

U Nazar, MA Khan, IU Lali, H Lin, H Ali… - Current medical …, 2020 - ingentaconnect.com
Recently, medical imaging and machine learning gained significant attention in the early
detection of brain tumor. Compound structure and tumor variations, such as change of size …

A survey on nature-inspired optimization algorithms and their application in image enhancement domain

KG Dhal, S Ray, A Das, S Das - Archives of Computational Methods in …, 2019 - Springer
In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …

Image enhancement based on histogram equalization

Y Xie, L Ning, M Wang, C Li - journal of physics: conference …, 2019 - iopscience.iop.org
Image enhancement is an important technology in the process of image processing. It can
improve the image effect, enhance the overall brightness and clarity of the image. Histogram …

Visualization of activated muscle area based on sEMG

Y Cheng, G Li, J Li, Y Sun, G Jiang… - Journal of Intelligent …, 2020 - content.iospress.com
Based on HSV gamut space, a visualization system of muscle activity is proposed to study
the mapping relationship between hand motion and active areas of upper arm muscle …

A novel image enhancement algorithm based on stationary wavelet transform for infrared thermography to the de-bonding defect in solid rocket motors

T Liu, W Zhang, S Yan - Mechanical Systems and Signal Processing, 2015 - Elsevier
In this paper, a multi-scale image enhancement algorithm based on low-passing filtering
and nonlinear transformation is proposed for infrared testing image of the de-bonding defect …

A novel multi-focus image fusion method based on stationary wavelet transform and local features of fuzzy sets

Q Jiang, X Jin, SJ Lee, S Yao - IEEE Access, 2017 - ieeexplore.ieee.org
The key issue of multi-sensor image fusion is how to accurately extract and fuse the high-
quality pixels or coefficients of source images. Nevertheless, the so-called high-quality is an …

Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform

W Li, Q Lin, K Wang, K Cai - International Journal of Imaging …, 2021 - Wiley Online Library
Many types of medical images must be fused, as single‐modality medical images can only
provide limited information due to the imaging principles and the complexity of human organ …

[PDF][PDF] Review and analysis of various image enhancement techniques

S Kaur, P Kaur - International Journal of Computer Applications …, 2015 - researchgate.net
Image enhancement plays an important role in vision applications. Recently a lot of work
has been performed in the field of image enhancement. Many techniques have already …

A new data hiding method based on chaos embedded genetic algorithm for color image

Ş Doğan - Artificial Intelligence Review, 2016 - Springer
Data hiding algorithms, which have many methods describing in the literature, are widely
used in information security. In data hiding applications, optimization techniques are utilized …

Nonlinear exposure intensity based modification histogram equalization for non-uniform illumination image enhancement

NH Saad, NAM Isa, HM Saleh - IEEE Access, 2021 - ieeexplore.ieee.org
Non-uniform illumination image is often generated owing to various factors, such as an
improper setting in the image acquisition device and absorption or reflectance of the objects …