Fr. 79.00

A Complete Guide to Image Segmentation With Matlab Codes

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

This book acts as a step-by-step and complete guide to color image segmentation and to study in detail the image segmentation process. Also, one can do his/her research project on image segmentation. In this book, an exhaustive literature on existing approaches are critically analysed and compared. Thorough analysis of graph based segmentation methods is shown. Later, an optimum method is proposed wherein the various important processes like preprocessing, noise removal, speeding up, merging, and labelling of segmented images is done. The results are evaluated and compared using various performance evaluation parameters like execution time, performance ratio, PSNR, precision and recall. We have provided the MATLAB codes for each and every step. This work has 18000+ reads and 90+ citations.

About the author










Vikramsingh R. Parihar (B.E., M.E.) es profesor asistente en el Departamento de Electricidad, PRMCEAM, Badnera-Amravati, con 10 años de experiencia docente. Es autor de 2 libros y ha publicado más de 50 artículos de investigación en revistas de prestigio. Su área de interés es el procesamiento de imágenes y el reconocimiento de patrones. También está trabajando en un novedoso

Product details

Authors Vikramsingh Parihar
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 07.09.2021
 
EAN 9786204191324
ISBN 9786204191324
No. of pages 132
Subjects Guides
Natural sciences, medicine, IT, technology > IT, data processing > Miscellaneous

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.