Title
Modified K Medoids Algorithm For Image Segmentation: Application of Clustering in Image Processing,Used
Delivery time: 8-12 business days (International)
Clustering as a segmentation technique gives a vector of N measurements describing each pixel or group of pixels (i.e., region) in an image, a similarity of the measurement vectors and therefore their clustering in the Ndimensional measurement space implies similarity of the corresponding pixels or pixel groups. Therefore, clustering in measurement space may be an indicator of similarity of image regions, and may be used for segmentation purposes. This book investigates efficient and effective clustering and soft computing algorithms for image segmentation.The improved algorithm for Kmedoids clustering incorporates histogram equalization as its first step to reduce the number of centroids. The algorithm calculates the best optimal medoids and uses them for segmentation to reduce the time complexity without much affecting the intercluster similarity.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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