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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Cloth. Etat : Fine. 224 pp. Tightly bound. Corners not bumped. Text free of markings. Book Still in Shrink Wrap.

Hardcover. Etat : Very Good+ with no dust jacket. 210 pages. Light fading along top edge of cover. Previous owner's name written on first page. ; 7 1/4 x 10 1/4".

Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Paperback. Etat : Very Good. Very Good - Crisp, clean, unread book with some shelfwear/edgewear, may have a remainder mark - NICE Standard-sized.

Etat : New.

Etat : New. SUPER FAST SHIPPING.

Paperback. Etat : new. Paperback. A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. This book describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. In.

Paperback. Etat : New.

Etat : New. pp. 228.

Hardcover. Etat : Fine. hardcover in fine condition.

Hard Cover. Etat : Near Fine. No Jacket. A clean, unmarked copy with a tight binding. 210 pages.

Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Etat : new. Paperback. A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. This book describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Etat : new. Paperback. A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. This book describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Brand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.

Paperback. Etat : Like New. Like New. book.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Etat : New. SUPER FAST SHIPPING.

Etat : New.

Hardcover. Etat : new. Hardcover. A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. Describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. In.

Hardcover. Etat : new. Hardcover. A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. Describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition. Describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : Brand New. 1st edition. 224 pages. 10.25x7.25x0.75 inches. In Stock.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - A key problem in practical image processing is that of detecting certain features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. A number of computationally efficient algorithms and techniques are then presented, to deal with such problems as line, edge and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 400.