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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
With the advent of computer technology, more and more images will be presented in an electronic form. Hence, we will need more advan-ced methods to deal with these images as they are becoming an indispensable part of our daily life. Plenty of knowledge can be hidden in images, however very little literature discusses knowledge discovery on them. Moreover, most existing data mining algorithms have been designed for mining categorical or numerical data, and are not suited for image. On the other hand, most image processing methods were focused on processing, not analyzing the image, thus, few of them can be used to mine the image. In this book, we present a framework based on decision trees for both of image mining and image processing. It can automatically mine use-ful information of the given images and learn the effect within. The learned effects can even be applied to process other images. Thus, we can create an image processing model with a desired effect by using variety of training images. The method described in this book is es-pecially suitable for everyone who wants to mine knowledge from the image and for people who wish to create their personalized image processing model.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
With the advent of computer technology, more and more images will be presented in an electronic form. Hence, we will need more advan-ced methods to deal with these images as they are becoming an indispensable part of our daily life. Plenty of knowledge can be hidden in images, however very little literature discusses knowledge discovery on them. Moreover, most existing data mining algorithms have been designed for mining categorical or numerical data, and are not suited for image. On the other hand, most image processing methods were focused on processing, not analyzing the image, thus, few of them can be used to mine the image. In this book, we present a framework based on decision trees for both of image mining and image processing. It can automatically mine use-ful information of the given images and learn the effect within. The learned effects can even be applied to process other images. Thus, we can create an image processing model with a desired effect by using variety of training images. The method described in this book is es-pecially suitable for everyone who wants to mine knowledge from the image and for people who wish to create their personalized image processing model.