A Fast and Effective Method of Macula Automatic Detection for Retina Images
This work addresses a domain-specific problem for medical imaging in ophthalmology, offering an incremental improvement in speed and simplicity for macula detection.
The paper tackles the problem of automatically detecting the macula in retina images by proposing a novel method based on morphological processing, achieving high accuracy with simpler and faster performance compared to existing approaches.
Retina image processing is one of the crucial and popular topics of medical image processing. The macula fovea is responsible for sharp central vision, which is necessary for human behaviors where visual detail is of primary importance, such as reading, writing, driving, etc. This paper proposes a novel method to locate the macula through a series of morphological processing. On the premise of maintaining high accuracy, our approach is simpler and faster than others. Furthermore, for the hospital's real images, our method is also able to detect the macula robustly.