How Long to Read Image Segmentation and Compression Using Hidden Markov Models

How Long Does it Take to Read Image Segmentation and Compression Using Hidden Markov Models?

It takes the average reader 2 hours and 21 minutes to read Image Segmentation and Compression Using Hidden Markov Models by Jia Li

Assuming a reading speed of 250 words per minute. Learn more

Description

In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book. Image segmentation is a process for dividing an image into its constituent parts. For block-based segmentation using statistical classification, an image is divided into blocks and a feature vector is formed for each block by grouping statistics of its pixel intensities. Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). Formulas for estimating the model according to the maximum likelihood criterion are derived from the EM algorithm. To segment an image, optimal classes are searched jointly for all the blocks by the maximum a posteriori (MAP) rule. The 2-D HMM is extended to multiresolution so that more context information is exploited in classification and fast progressive segmentation schemes can be formed naturally. The second issue addressed in the book is the design of joint compression and classification systems using the 2-D HMM and vector quantization. A classifier designed with the side goal of good compression often outperforms one aimed solely at classification because overfitting to training data is suppressed by vector quantization. Image Segmentation and Compression Using Hidden Markov Models is an essential reference source for researchers and engineers working in statistical signal processing or image processing, especially those who are interested in hidden Markov models. It is also of value to those working on statistical modeling.

How long is Image Segmentation and Compression Using Hidden Markov Models?

Image Segmentation and Compression Using Hidden Markov Models by Jia Li is 141 pages long, and a total of 35,391 words.

This makes it 48% the length of the average book. It also has 43% more words than the average book.

How Long Does it Take to Read Image Segmentation and Compression Using Hidden Markov Models Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 13 minutes to read Image Segmentation and Compression Using Hidden Markov Models aloud.

What Reading Level is Image Segmentation and Compression Using Hidden Markov Models?

Image Segmentation and Compression Using Hidden Markov Models is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Image Segmentation and Compression Using Hidden Markov Models?

Image Segmentation and Compression Using Hidden Markov Models by Jia Li is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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