An Efficient Low Complex-Functional Link Artificial Neural Network-Based Framework for Uneven Light Image Thresholding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3447716
Abstract: The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techniques… read more here.
Keywords: image; light image; uneven light; neural network ... See more keywords
A novel segmentation method for uneven lighting image with noise injection based on non-local spatial information and intuitionistic fuzzy entropy
Sign Up to like & getrecommendations! Published in 2017 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-017-0509-5
Abstract: Local thresholding methods for uneven lighting image segmentation always have the limitations that they are very sensitive to noise injection and that the performance relies largely upon the choice of the initial window size. This… read more here.
Keywords: non local; image; uneven lighting; noise injection ... See more keywords