Dominant color component and adaptive whale optimization algorithm for multilevel thresholding of color images
Optimal multilevel thresholding for image segmentation got much importance in recent
years. Several entropic and non-entropic objective functions with evolutionary computing …
years. Several entropic and non-entropic objective functions with evolutionary computing …
Zanthoxylum bungeanum fruit detection by adaptive thresholds in HSV space for an automatic picking system
L He, X Cheng, A Jiwa, D Li, J Fang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Zanthoxylum bungeanum is widely cultivated, and some automatic picking systems or robots
are researched to pick the pepper fruit instead of human hands. The detection algorithm is …
are researched to pick the pepper fruit instead of human hands. The detection algorithm is …
Flower image classification using convolutional neural network
In the field of pharmaceutical industry, botany and agricultural there is a need of algorithm
which will classify the flowers by processing its image. In this context, we propose a flower …
which will classify the flowers by processing its image. In this context, we propose a flower …
Robust color image segmentation by Karhunen-Loeve transform based Otsu multi-thresholding and K-means clustering
C Wang, J Watada - 2011 Fifth International Conference on …, 2011 - ieeexplore.ieee.org
In this paper, a novel fast approach is proposed to achieve image segmentation in color
image. This method helps to refine the foreground regions and achieves the goal of robust …
image. This method helps to refine the foreground regions and achieves the goal of robust …
Hand gesture recognition system for numbers using thresholding
An efficient human computer interaction is assuming utmost importance in our daily lives.
Human beings can communicate mainly by vision and sound. Human can recognize the …
Human beings can communicate mainly by vision and sound. Human can recognize the …
Image segmentation: A survey
Segmentation is needed for extracting the useful or concerned information. There are lots of
segmentation algorithms available. Here, we have discussed various segmentation …
segmentation algorithms available. Here, we have discussed various segmentation …
A two-stage image segmentation model for multi-channel images
Z Li, T Zeng - Communications in Computational Physics, 2016 - cambridge.org
This paper introduces a two-stage model for multi-channel image segmentation, which is
motivated by minimal surface theory. Indeed, in the first stage, we acquire a smooth solution …
motivated by minimal surface theory. Indeed, in the first stage, we acquire a smooth solution …
Otsu multilevel thresholding segmentation based on quantum particle swarm optimisation algorithm
LL Cao, S Ding, XW Fu, L Chen - International Journal of …, 2016 - inderscienceonline.com
Otsu threshold segmentation is one of the most representative methods for image
segmentation. Compared with multilevel threshold segmentation, Otsu method is …
segmentation. Compared with multilevel threshold segmentation, Otsu method is …
Analysis of Greenness in Urban Cities Using Supervised and Unsupervised Classification
N Nimbarte, S Sainis, S Balamwar - Computational Vision and Bio-Inspired …, 2022 - Springer
Satellite images are widely used in urban planning and growth analysis with different
technology being developed. A remotely sensed image is at first pre-processed to remove …
technology being developed. A remotely sensed image is at first pre-processed to remove …
Mobile Internet based TELEDOCTOR CONSULTATION APP
K Kamble, M Ghute - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
Nowadays visiting doctor for even a normal consultation has been a thought of worry. Taking
patients to doctor for normal consultation is still in practice. Sometimes family doctor advices …
patients to doctor for normal consultation is still in practice. Sometimes family doctor advices …