• 1. Introduction.- 2. Background Notions.- 3. Erosion and Dilation.- 4. Opening and Closing.- 5. Hit-or-miss and Skeletons.- 6. Geodesic Transformations.- 7. Geodesic Metrics.- 8. Filtering.- 9. Segmentation.- 10. Classification.- 11. Texture analysis.- 12. Application Fields.- List of Symbols.- Name index.- Citation index.

From the reviews: "This is a scholarly tour de force through the world of morphological image analysis, and, as its title indicates, it covers both the basic theory and the applications of the subject... All these concepts are well covered in this volume, with copious, very clear illustrations showing a myriad of images containing objects, textures and structures in both unprocessed and processed forms. Amongst the illustrations are also many useful diagrams, histograms, mappings and other mental aids. The subject is intricate and no stones are left unturned in explaining carefully what is meant, and relating the work to everyday experience. The author is clearly master of both the subject and its teaching ... I recommend this book unreservedly as the best one I have encountered on this particular topic..." BMVA News From the reviews of the second edition: "Faced with the success of his book, the author felt the need to revise and expand it. ... There are more algorithms and more applications, several of them coming from the author's own work. Many added illustrations improve the understanding of morphological theory, and the bibliography at the end of each chapter has become impressive. ... As its first edition, this book should appeal ... to practitioners of image processing, who will find in it a wealth of efficient methods for various problems." (Christian Ronse, Mathematical Reviews, Issue 2004 c) "This book puts the emphasis firmly on solving real world practical problems which arise in many image processing applications. ... It will be of most benefit to engineers and image processing specialists ... . Each chapter has several examples and there are a number of case studies. ... It is self-contained and aims to go well beyond an introduction ... . This is the second edition and there are a number of significant additions, which reflect the developments in the field ... ." (Stephen Marshall, IEE Proceedings Vision, Image & Signal Processing, September, 2003) "A very readable book for newcomers, written in an accessible style. ... The present work is ... much more than an introduction to the subject and it is very useful to have essays on so many branches of the subject united in a single volume. ... This in no way detracts from the value of the book for readers already familiar with the basic structure of mathematical morphology, to whom it is highly recommended." (Ultramicroscopy, Vol. 116, 2012)

• 1. Introduction.- 2. Background Notions.- 3. Erosion and Dilation.- 4. Opening and Closing.- 5. Hit-or-miss and Skeletons.- 6. Geodesic Transformations.- 7. Geodesic Metrics.- 8. Filtering.- 9. Segmentation.- 10. Classification.- 11. Texture analysis.- 12. Application Fields.- List of Symbols.- Name index.- Citation index.

From the reviews: "This is a scholarly tour de force through the world of morphological image analysis, and, as its title indicates, it covers both the basic theory and the applications of the subject... All these concepts are well covered in this volume, with copious, very clear illustrations showing a myriad of images containing objects, textures and structures in both unprocessed and processed forms. Amongst the illustrations are also many useful diagrams, histograms, mappings and other mental aids. The subject is intricate and no stones are left unturned in explaining carefully what is meant, and relating the work to everyday experience. The author is clearly master of both the subject and its teaching ... I recommend this book unreservedly as the best one I have encountered on this particular topic..." BMVA News From the reviews of the second edition: "Faced with the success of his book, the author felt the need to revise and expand it. ... There are more algorithms and more applications, several of them coming from the author's own work. Many added illustrations improve the understanding of morphological theory, and the bibliography at the end of each chapter has become impressive. ... As its first edition, this book should appeal ... to practitioners of image processing, who will find in it a wealth of efficient methods for various problems." (Christian Ronse, Mathematical Reviews, Issue 2004 c) "This book puts the emphasis firmly on solving real world practical problems which arise in many image processing applications. ... It will be of most benefit to engineers and image processing specialists ... . Each chapter has several examples and there are a number of case studies. ... It is self-contained and aims to go well beyond an introduction ... . This is the second edition and there are a number of significant additions, which reflect the developments in the field ... ." (Stephen Marshall, IEE Proceedings Vision, Image & Signal Processing, September, 2003) "A very readable book for newcomers, written in an accessible style. ... The present work is ... much more than an introduction to the subject and it is very useful to have essays on so many branches of the subject united in a single volume. ... This in no way detracts from the value of the book for readers already familiar with the basic structure of mathematical morphology, to whom it is highly recommended." (Ultramicroscopy, Vol. 116, 2012)

• 1. Introduction.- 2. Background Notions.- 3. Erosion and Dilation.- 4. Opening and Closing.- 5. Hit-or-miss and Skeletons.- 6. Geodesic Transformations.- 7. Geodesic Metrics.- 8. Filtering.- 9. Segmentation.- 10. Classification.- 11. Texture analysis.- 12. Application Fields.- List of Symbols.- Name index.- Citation index.

From the reviews: "This is a scholarly tour de force through the world of morphological image analysis, and, as its title indicates, it covers both the basic theory and the applications of the subject... All these concepts are well covered in this volume, with copious, very clear illustrations showing a myriad of images containing objects, textures and structures in both unprocessed and processed forms. Amongst the illustrations are also many useful diagrams, histograms, mappings and other mental aids. The subject is intricate and no stones are left unturned in explaining carefully what is meant, and relating the work to everyday experience. The author is clearly master of both the subject and its teaching ... I recommend this book unreservedly as the best one I have encountered on this particular topic..." BMVA News From the reviews of the second edition: "Faced with the success of his book, the author felt the need to revise and expand it. ... There are more algorithms and more applications, several of them coming from the author's own work. Many added illustrations improve the understanding of morphological theory, and the bibliography at the end of each chapter has become impressive. ... As its first edition, this book should appeal ... to practitioners of image processing, who will find in it a wealth of efficient methods for various problems." (Christian Ronse, Mathematical Reviews, Issue 2004 c) "This book puts the emphasis firmly on solving real world practical problems which arise in many image processing applications. ... It will be of most benefit to engineers and image processing specialists ... . Each chapter has several examples and there are a number of case studies. ... It is self-contained and aims to go well beyond an introduction ... . This is the second edition and there are a number of significant additions, which reflect the developments in the field ... ." (Stephen Marshall, IEE Proceedings Vision, Image & Signal Processing, September, 2003) "A very readable book for newcomers, written in an accessible style. ... The present work is ... much more than an introduction to the subject and it is very useful to have essays on so many branches of the subject united in a single volume. ... This in no way detracts from the value of the book for readers already familiar with the basic structure of mathematical morphology, to whom it is highly recommended." (Ultramicroscopy, Vol. 116, 2012)