研究目的
To develop a supervised technique for accurate detection and localization of the optic disc in retinal images using Discrete Fourier Transform and Gabor filters.
研究成果
The proposed algorithm successfully detects and localizes the optic disc with high accuracy across various OD types, outperforming previous methods. It demonstrates the effectiveness of frequency domain analysis with Gabor filters for retinal image processing, suggesting potential for further optimization and application in medical diagnostics.
研究不足
The method relies on predefined patch sizes and steps, which may not adapt to all image variations; performance is dependent on the quality and characteristics of the MESSIDOR database images; computational complexity from DFT and multiple filter convolutions could be high for real-time applications.
1：Experimental Design and Method Selection:
The methodology involves a two-phase algorithm: a learning phase to define the OD class using mean magnitude and phase features from Gabor filter responses, and a testing phase for patch classification and OD localization based on Euclidean distances and intensity criteria.
2：Sample Selection and Data Sources:
Over 100 retinal images from the MESSIDOR database were used, with patches of 256x256 pixels extracted.
3：List of Experimental Equipment and Materials:
MATLAB software for implementation; no specific hardware mentioned.
4：Experimental Procedures and Operational Workflow:
Patches are extracted with a step of 30 pixels; DFT and convolution with a bank of 8 Gabor filters are applied; features are computed and compared to the OD class; candidate patches are selected and refined using intensity-based criteria.
5：Data Analysis Methods:
Euclidean distance for feature comparison, mean intensity calculations, and occurrence counting for final OD selection.
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