  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.
