2018
DOI: 10.1007/s11554-018-0748-1
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A real-time fuzzy morphological algorithm for retinal vessel segmentation

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Cited by 17 publications
(21 citation statements)
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“…Furthermore unsupervised methods are still dominant in works that focus on embedded or mobile systems and on execution speed [6,8,9,24]. These methods often rely on matched filtering, contour tracing and morphological transformation techniques.…”
Section: Related Workmentioning
confidence: 99%
“…Furthermore unsupervised methods are still dominant in works that focus on embedded or mobile systems and on execution speed [6,8,9,24]. These methods often rely on matched filtering, contour tracing and morphological transformation techniques.…”
Section: Related Workmentioning
confidence: 99%
“…The bottom‐hat transform is defined dually as the difference between the closing and the input image, and it is suitable for processing images with bright background and dark object features. Hence, the top‐hat and bottom‐hat operation can be defined as [1, 34, 35] Itophat=I)(Ib Ibottomhat=)(IbIwhere I is a greyscale image, b denotes the structural element, “” and “” describe the open operation and close operation of the mathematical morphology, respectively. The details of the mathematical morphology operation are shown in [1, 34, 35].…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Hence, the top‐hat and bottom‐hat operation can be defined as [1, 34, 35] Itophat=I)(Ib Ibottomhat=)(IbIwhere I is a greyscale image, b denotes the structural element, “” and “” describe the open operation and close operation of the mathematical morphology, respectively. The details of the mathematical morphology operation are shown in [1, 34, 35]. Combining top‐hat and bottom‐hat transformation, by stretching the contrast between the object and its background, the objects and their details in a greyscale image are highlighted, and then image enhancement processing can be defined as Ienhance=)(Itophat+IIbottomhatMathematical morphological transform operation is set operation, its operation is the interaction between the structure element and the object shape, the shape of the structure element structure determines shape of the extracted object.…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Moreover, there is an issue to extract extremely tortuous vessels in case of superimposing large SE. Morphological operations were utilized for both enhancement and RVS [ 2 , 40 44 ]. On the other hand, retinal blood vessels of variable thickness at various scales were obtained by multiscale approaches [ 45 50 ].…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, it allows understanding the colors, dimensions, and shape of objects by processing the amount of light it reflects or emits. Retina image of an eye is captured with a fundus camera [ 2 ]. RGB photographs of the fundus are the protrusion of the internal surface of an eye.…”
Section: Introductionmentioning
confidence: 99%