Retinal vessel feature extraction from fundus image using image processing techniques

An Improved Blood Vessel Extraction Approach from Retinal Fundus Images Using Digital Image Processing

Diseases like glaucoma, macular degeneration, hypertensive retinopathy and diabetic retinopathy has a major share in complete or partial vision loss in humans. Early diagnose of these diseases is possible through temporal examination of the shape and form, bifurcation patterns and growth of vessels present in the retinal fundus images. In this work, an efficient and rapid scheme to extract the ...

Feature Extraction and Image Processing

Assessing of Fabric Appearance Changes Using Image Processing Techniques

 This paper describes the use of image processing to measure lightness changes of fabric appearance. The lightness changes due to dyeing, washing and exposure to light treatments are studied. These properties are measured by using the changes in the intensity levels of the fabrics image and the L* obtained by a spectrophotometer. For each case, analysis of variance (ANOVA) is carded out and the...

Retinal image analysis: preprocessing and feature extraction

Image processing, analysis and computer vision techniques are found today in all fields of medical science. These techniques are especially relevant to modern ophthalmology, a field heavily dependent on visual data. Retinal images are widely used for diagnostic purposes by ophthalmologists. However, these images often need visual enhancement prior to apply a digital analysis for pathological ri...

Fragmentation measurement using image processing

In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...