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In this paper we have presented an algorithm for vessel detection in retinal color images which works based on local Radon transform and morphological reconstruction. In our previous work, the algorithm was applied to conjunctival images and the performance was evaluated subjectively. In this work an extended version of the algorithm is applied to retinal images and our aim is to detect vessels in...
Exudates are one of the earliest and most prevalent symptoms of diseases leading to blindness such as diabetic retinopathy and wet macular degeneration. Certain areas of the retina with such conditions are to be photocoagulated by laser to stop the disease progress and prevent blindness. Outlining these areas is dependent on outlining the exudates, the blood vessels, the optic disc and the macula...
Edge detection plays a fundamental role in higher level processing. Aiming at the actual macrophages images characteristic, this paper presents the method of image edge detection based on mathematical morphology. The image is first converted color space from RGB to YIQ. Then the image is segmented by Otsu threshold algorithm. And then the opening and closing of morphological filter are used to process...
This paper presents the segmentation of cancer cells in a microscopic tissue image from breast cancer. We perform color classification using the neural network. Subsequently, morphological operations and cell size considerations are used for eliminating spike noise and separating cancer cells. The excellent segmentation results from the proposed algorithm are demonstrated with microscopic images under...
In this paper, a method for detecting possible presence of abnormality in the endoscopic images is presented. The pre-processed endoscopic color images are segmented in the HSI color space. The pixels in the input color image corresponding to the segmented image are extracted for further processing. This image is smoothened using average filter and converted into grayscale image. Its inverse transform...
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