A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding

Correction: A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding

[This corrects the article DOI: 10.1371/journal.pone.0158996.].

A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding

Diabetic Retinopathy (DR) harm retinal blood vessels in the eye causing visual deficiency. The appearance and structure of blood vessels in retinal images play an essential part in the diagnoses of an eye sicknesses. We proposed a less computational unsupervised automated technique with promising results for detection of retinal vasculature by using morphological hessian based approach and regi...

Direction-Based Segmentation of Retinal Blood Vessels

Transition Region-Based Thresholding using Maximum Entropy and Morphological Operations

Thresholding method based on transition region is a new approach for image segmentation. In this paper, a novel transition region extraction and thresholding method based on maximum entropy and morphological operations. Hence, the proposed algorithm can accurately extract transition region of an image and get ideal segmentation result. The proposed algorithm was compared with maximum entropy an...

Segmentation of retinal blood vessels using normalized Gabor filters and automatic thresholding

Although computerized retinal image blood vessel segmentation has been extensively researched, there is still room for improvement in the quality of the segmented images. Since retinal image analysis is still widely used in the diagnosis of diabetic retinopathy, efficient and accurate image characterization techniques are required. Previous work has mainly focused on improving segmentation accu...