This paper is published in Volume-8, Issue-3, 2022
Area
Machine Learning
Author
Abirami S., Kaviya.P, Reena.R
Org/Univ
Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, Tamil Nadu, India
Pub. Date
04 June, 2022
Paper ID
V8I3-1382
Publisher
Keywords
Image processing, Adaptive filter, Gaussian filter, Canny edge filter, Active contour, and convolutional neural network.

Citationsacebook

IEEE
Abirami S., Kaviya.P, Reena.R. Fog removal in an image using fuzzy c-means and active contour segmentation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Abirami S., Kaviya.P, Reena.R (2022). Fog removal in an image using fuzzy c-means and active contour segmentation. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.

MLA
Abirami S., Kaviya.P, Reena.R. "Fog removal in an image using fuzzy c-means and active contour segmentation." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.

Abstract

Edge-maintaining smoothing is a picture processing approach that smooths away textures whilst keeping sharp edges. Image de-noising is the approach to lessen noises from corrupted pics. The goal of image denoising is to enhance the evaluation of the picture or notion of records in pics for human visitors or to offer higher output for different automatic picture processing techniques. The severe risk of air pollutants to human fitness makes air first-rate awareness of public attention, and effective, well-timed air first-rate tracking is vital to pollutants manipulation and human fitness. This paper proposes a deep getting to know and picture-primarily based totally version for air first-rate estimation. The noise introduces itself into a picture by changing a number of the pixels of the unique picture through new pixels having luminance values close to or identical to the minimal or most of the allowable dynamic luminance range. Preprocessing an image is a good way to adjust the picture for similar classes and segmentation