Review of Preprocessing Techniques for Fundus Image Analysis

Review of Preprocessing Techniques for Fundus Image Analysis

Shilpa Joshi P.T. Karule

Y.C.C.E., Hingna, Nagpur 441110, India

Corresponding Author Email: 
ssjd10@gmail.com, ptkarule@gmail.com
Page: 
593-612
|
DOI: 
https://doi.org/10.18280/ama_b.600306
Received: 
26 December 2017
|
Accepted: 
8 January 2018
|
Published: 
31 September 2017
| Citation

OPEN ACCESS

Abstract: 

The principal target of preprocessing is to get more appropriate resultant image than its original for further additional analysis. Enhancement of retinal images creates several challenges. The main obstacle is to develop a technique to accommodate the wide variation in contrast inside the image. Necessity of preprocessing methods are for image normalization and to increase the contrast for achieving accurate analysis. This work examined literature in the prior process of digital imaging, in the field of the analysis of fundus image to extract normal and pathologic retinal traits within the context of diabetic retinopathy (DR).

Keywords: 

Color Space Conversion, Filtering, Contrast Enhancement, Shade Correction

1. Introduction
2. Related Work
3. Color Space Conversion and Normalization
4. Shade Correction
5. Adaptive Contrast Enhancement
6. Background Exclusion
7. Filtering
8. Morphological Processing
9. Mask Generation
10. Conclusion
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