Qualitative and quantitative analysis of segmentation of human retinal images

With the sophistication in automated computing systems Bio-Medical Image analysis is made simple. Today there is an increase in interest for setting up medical system that can screen a large number of people for sight threatening diseases, such Retinoblastoma (Rb) and Diabetic Retinopathy(DR). Spatial Domain Edge Detection approach needs Gray scale images for feature extraction and highly prone to noise. Feature analysis through this type of spatial operation will not be much useful in diagnosing the pathologies in medical images since the pathologies needs to be analyzed in terms of color, texture and luminance. Thus the problem with spatial domain filtering can be solved if at all each of the ROI edges are colored with unique color from other regions as pathologies are characterized by distinct color from the other regions. Designing a 2-dimensional filter of a specified type of edge operations in much useful to find the X-derivative and Y-derivatives of the image. The Magnitude of the resultant gradient image attained gives quite optimum results. Further image is Intensity adjusted(an Image Enhancement technique) so that only the ROI is highlighted while suppressing the back ground and make easy to analyze the image even for a novice (here a common man). The software used in this work is MATLAB V 7.2.