A two-dimensional image segmentation method based on genetic algorithm and entropy

S Abdel-Khalek, AB Ishak, OA Omer, ASF Obada - Optik, 2017 - Elsevier
Thresholding is a well-known technique for digital image segmentation. A growing number
of contributions achieved the thresholding value by maximizing some information theory …

Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer

R Qaddoura, WA Manaseer, MAM Abushariah… - Multimedia Tools and …, 2020 - Springer
Image segmentation is a popular technique that is used for extracting information from
images, which has also gained a lot of interest lately due to its importance in different …

Fractional mega trend diffusion function-based feature extraction for plant disease prediction

A Bhatia, A Chug, AP Singh, D Singh - International Journal of Machine …, 2023 - Springer
Plant diseases can severely degrade the quality and productivity of any crop. Hence, an
automated forecasting model can be developed to help the farmers and agricultural experts …

Multi-scale selective image texture smoothing via intuitive single clicks

C Liu, Y Feng, C Yang, M Wei, J Wang - Signal Processing: Image …, 2021 - Elsevier
Existing texture filtering techniques acquiesce in the removal of all undesired background
texture patterns simultaneously, and lead to the disappearance of small-scale foreground …

Transformer Network-based Image Segmentation using Hybrid Flower Pollination Optimization

M Sivajyothi, KR Madhavi, VVV Devi… - … on Computing for …, 2024 - ieeexplore.ieee.org
Effective image segmentation is important in various fields, from medical imaging to
autonomous vehicles. This paper presents an integration of Hybrid Flower Pollination …

[PDF][PDF] Various methods of enhancement in colored images: a review

B Dolly, D Raj - Int. J. Comput. Sci. Eng, 2018 - researchgate.net
Image Enhancement is a technique to enhance images for many applications such as
medical diagnosis and analysis, satellite images, agriculture etc. This paper is a review …

Optimized entropy based image segmentation

S Sahoo, SS Sahoo, S Kumar… - … on Computer Science …, 2020 - ieeexplore.ieee.org
Segmentation performs a very important role in image processing and computer vision. The
automatic thresholding methods are very popular because of their ease of implementation …

[PDF][PDF] A two-dimensional image segmentation method based on hybrid genetic algorithm with particle swarm optimization and entropy

NH Rajini - International Journal of Applied Engineering Research, 2019 - academia.edu
For segmentation of digital images, thresholding is a popular approach. Through increasing
few data theory functions like entropies, an increasing contribution accomplished the …

[PDF][PDF] Color Particle Filter Tracking using Frame Segmentation based on JND Color and Spatial Connectivity 4-D Histogram [J]

NV Gokhale, KK Bhoyar… - IOSR Journal of VLSI and …, 2017 - academia.edu
Object tracking is one of the most important components in numerous applications of
computer vision. Color can provide an efficient visual feature for tracking non-rigid objects in …

[PDF][PDF] „Color Image Segmentation based on 4-D Histogram using JND Color and Spatial Connectivity‟

AV Gokhale, KK Bhoyar, MB Kishor - International Journal of …, 2017 - researchgate.net
Although there are several color image segmentation algorithms proposed in the literature,
the image segmentation task still remains a challenge, due to very high computational …