Image segmentation using K-means clustering algorithm and subtractive clustering algorithm

N Dhanachandra, K Manglem, YJ Chanu - Procedia Computer Science, 2015 - Elsevier
Image segmentation is the classification of an image into different groups. Many researches
have been done in the area of image segmentation using clustering. There are different …

Clustering method and sine cosine algorithm for image segmentation

L Khrissi, N El Akkad, H Satori, K Satori - Evolutionary Intelligence, 2022 - Springer
This article presents a new image segmentation approach based on the principle of
clustering optimized by the meta-heuristic algorithm namely: SCA (Algorithm Sinus Cosine) …

[PDF][PDF] A performant clustering approach based on an improved sine cosine algorithm

L Khrissi, N El Akkad, H Satori… - International Journal of …, 2022 - pdfs.semanticscholar.org
Image segmentation is a fundamental and important step in many computer vision
applications. One of the most widely used image segmentation techniques is clustering. It is …

Simple and efficient clustering approach based on cuckoo search algorithm

L KHRISSI, N EL AKKAD, H SATORI… - … Computing in Data …, 2020 - ieeexplore.ieee.org
Image segmentation is the most important operation in the image processing system
because it is located at the articulation between image processing and analysis. The …

Image segmentation by using K-means clustering algorithm in Euclidean and Mahalanobis distance calculation in camouflage images

E Bayram, V Nabiyev - 2020 28th Signal Processing and …, 2020 - ieeexplore.ieee.org
In camouflage images, the texture of an object is hidden in the background image texture.
The hidden object has almost the same color tone and texture as the background image …

Performance analysis of pest detection for agricultural field using clustering techniques

R Pratheba, A Sivasangari… - … Conference on Circuits …, 2014 - ieeexplore.ieee.org
In modern agricultural field, pest detection cause significant reduction in both quality and
quantity of tomato plant cultivation. In order to increase the Production rate of Tomato plant …

[PDF][PDF] Performance evaluation and comparative analysis of proposed image segmentation algorithm

R Kumar, AM Arthanariee - Indian Journal …, 2014 - sciresol.s3.us-east-2.amazonaws …
In this paper, a novel approach of K-Region based Clustering image segmentation algorithm
has been proposed. The proposed algorithm divides an image of size N× N into K number of …

[PDF][PDF] Analyzing the optimal performance of pest image segmentation using non linear objective assessments

S Sangari, D Saraswady - International …, 2016 - download.garuda.kemdikbud.go.id
In modern agricultural field, pest detection is a major role in plant cultivation. In order to
increase the Production rate of agricultural field, the presence of whitefly pests which cause …

An Enhanced Image Segmentation Approach for Detection of Diseases in Fruit

BK Mishra, PK Tripathy, SK Rout… - International Journal of …, 2022 - igi-global.com
The progress in the realm of image segmentation has helped farmers to use nominal inputs
for higher production within limited time. Preliminary identification of diseases on fruits is …

A time efficient clustering algorithm for gray scale image segmentation

NR Nayak, BK Mishra, AK Rath… - International Journal of …, 2013 - igi-global.com
The goal of image segmentation is to assign every image pixels into their respective
sections that share a common visual characteristic. In this paper, the authors have evaluated …