A Fast and Effective Method of Macula Automatic Detection for Retina Images

by   Yukang Jiang, et al.

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.


page 5

page 6

page 7

page 10


Cross-Reference Transformer for Few-shot Medical Image Segmentation

Due to the contradiction of medical image processing, that is, the appli...

MIPROT: A Medical Image Processing Toolbox for MATLAB

This paper presents a Matlab toolbox to perform basic image processing a...

Image Processing Techniques for identifying tumors in an MRI image

Medical Resonance Imaging or MRI is a medical image processing technique...

BALF: Simple and Efficient Blur Aware Local Feature Detector

Local feature detection is a key ingredient of many image processing and...

Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network

The aim of this study is to propose an alternative and hybrid solution m...

Characterizing driving behavior using automatic visual analysis

In this work, we present the problem of rash driving detection algorithm...

Please sign up or login with your details

Forgot password? Click here to reset