Objective assesment of different segmentation algorithm for underwater images

Acharya, Jay; Gadhiya, Sohil; Raviya, Kapil S.

doi:10.1109/icccnt.2013.6726489

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“…Algorithms based on Image segmentation namely adaptive image thresholding, Fuzzy C means with thresholding, K-means segmentation, edge based image segmentation are applied for submerged images and these techniques are also compared on the parameters like Relative Entropy, Redundancy and Discrete Entropy. Fuzzy c means with thresholding (FCMT) performs far better than other methods is shown by the experimental results is shown in the paper [15]. AC Bharath (2014) et al present that with a huge number of images, User assisted segmentation of lungs parenchyma pathology bearing regions becomes more tough.…”

Section: Literature Surveymentioning

confidence: 99%