Detection of Hemorrhages and micro aneurysms for color fundus images using Image Processing

Authors(2) :-Bhushan Thakare, Prof. Jayant Adhikari

Here we address the detection of Hemorrhages and microaneurysms in color fundus images. In pre-Processing we separate red, green, blue color channel from the retinal images. The green channel will pass to the further process. The green color plane was used in the analysis since it shows the best contrast between the vessels and the background retina. Then we extract the GLCM(Gray Level Co-Occurance Matrix) feature. In the GLCMs, several statistics information are derived using the different formulas. These statistics provide information about the texture of an image. Such as Energy, Entropy, Dissimilarity, Contrast, Inverse difference , correlation Homogeneity, Auto correlation, Cluster Shade Cluster Prominence, Maximum probability, Sum of Squares will be calculated for texture image. After feature Extraction, we provide this feature to classifier. Finally it will predict about the retinal whether it is hemorrhages or microaneurysms . After predicting the about the retinal image we will localize the affected place. For segmenting the localized place we will use adaptive thresholding segmentation.

Authors and Affiliations

Bhushan Thakare
Department of Computer Science and Engineering, TGPCET Nagpur, Maharashtra, India
Prof. Jayant Adhikari
Department of Computer Science and Engineering, TGPCET Nagpur, Maharashtra, India

GLCM, Fundus, Hemorrhages, Microaneurysms

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1284-1290
Manuscript Number : CSEIT11833192
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Bhushan Thakare, Prof. Jayant Adhikari, "Detection of Hemorrhages and micro aneurysms for color fundus images using Image Processing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.1284-1290, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT11833192

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