Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose two simple and efficient algorithms for au- tomated detection and localization of optic disc and macula with high accuracy. In the learning phase a set of statistical and fractal features re tested on 40 images from STARE database. The selected features combine spatial and spec- tral properties of the retinal images and are based on minimum or maximum cri- teria. In the first step of the algorithm, a sliding box method is used for primary detection of optic disc and macula. For the second phase, a non overlapping box method is proposed for accurate localization of the center of the optic disc. The features are different for the two phases and also for the two cases optic disc and macula. The algorithms re tested on a set of 100 retinal images from the same database. By accurate determination position of the optic disc and macula, the results confirm the efficiency of the proposed method.
['Dan Popescu', 'Loretta Ichim', 'Radu Dobrescu']
I am writing a research paper on a idea Sliding Box Method for Automated Detection of the Optic Disc and Macula in Retinal Images
[{"from": "human", "value": "I am writing a research paper on a idea Sliding Box Method for Automated Detection of the Optic Disc and Macula in Retinal Images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose two simple and efficient algorithms for au- tomated detection and localization of optic disc and macula with high accuracy. In the learning phase a set of statistical and fractal features re tested on 40 images from STARE database. The selected features combine spatial and spec- tral properties of the retinal images and are based on minimum or maximum cri- teria. In the first step of the algorithm, a sliding box method is used for primary detection of optic disc and macula. For the second phase, a non overlapping box method is proposed for accurate localization of the center of the optic disc. The features are different for the two phases and also for the two cases optic disc and macula. The algorithms re tested on a set of 100 retinal images from the same database. By accurate determination position of the optic disc and macula, the results confirm the efficiency of the proposed method."}]