The artificial intraocular lens (IOL) is inserted to replaced the crystalline lens of the human eye after cataract surgery or refraction clear lens extraction. When the IOL, is in an aquatic environment, glistenings, which are liquid-filled microvacuoles, can be discriminated from normal state. Automatic detection of glistenings is a new problem, they have tiny sizes, sometimes have low contrast and also similar with the lens background. In this paper, the candidate glistenings are automatically detected by mathematic morphology method and fine segmented using the classifiers, we used k-nearest neighbor (kNN) and Naïve Bayes for comparing the results. The detected glistenings are validated by object-based with ophthalmologists hand-drawn ground-truth. The result shows that classification can improve the performance of glistenings detection better than using only morphology method. The proposed software was developed for creating an effective automatic glistenings detection and quantification with a user-friendly Graphical User Interface,reliable results. Thus this computer-aid tool will help the researcher analyze the experiment results to better understand glistenings characteristic that have an effect on vary conditions.
Multimedia Tools and Applications – Springer Journals
Published: Feb 14, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera