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Image processing with cellular topology

Kovalevskii, V. A.

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Image processing with cellular topology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Image processing with cellular topology/ by Vladimir Kovalevskii.
作者:	Kovalevskii, V. A.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	1 online resource (xi, 184 p.) :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Boundary Presentation Using Abstract Cell Complexes -- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes -- Chapter 4. Boundary Tracing and Encoding in Color Images -- Chapter 5. Boundary Polygonization -- Chapter 6. Edge Detection in 2D Images -- Chapter 7. Surface Traversing and Encoding in 3D Images -- Chapter 8. Edge Detection in 3D Images -- Chapter 9. Discussion.
Contained By:	Springer Nature eBook
標題:	Image processing. -
電子資源:	https://doi.org/10.1007/978-981-16-5772-6
ISBN:	9789811657726

Image processing with cellular topology
Kovalevskii, V. A.

Image processing with cellular topology[electronic resource] /by Vladimir Kovalevskii. - Singapore :Springer Singapore :2021. - 1 online resource (xi, 184 p.) :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Boundary Presentation Using Abstract Cell Complexes -- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes -- Chapter 4. Boundary Tracing and Encoding in Color Images -- Chapter 5. Boundary Polygonization -- Chapter 6. Edge Detection in 2D Images -- Chapter 7. Surface Traversing and Encoding in 3D Images -- Chapter 8. Edge Detection in 3D Images -- Chapter 9. Discussion.

This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.

ISBN: 9789811657726

Standard No.: 10.1007/978-981-16-5772-6doiSubjects--Topical Terms:

621117
Image processing.

LC Class. No.: TA1637 / K68 2021

Dewey Class. No.: 006.6

Image processing with cellular topology
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505 0 $a Chapter 1. Introduction -- Chapter 2. Boundary Presentation Using Abstract Cell Complexes -- Chapter 3. Boundary Tracing in Binary Images Using Cell Complexes -- Chapter 4. Boundary Tracing and Encoding in Color Images -- Chapter 5. Boundary Polygonization -- Chapter 6. Edge Detection in 2D Images -- Chapter 7. Surface Traversing and Encoding in 3D Images -- Chapter 8. Edge Detection in 3D Images -- Chapter 9. Discussion.
520 $a This book explains why the finite topological space known as abstract cell complex is important for successful image processing and presents image processing methods based on abstract cell complex, especially for tracing and encoding of boundaries of homogeneous regions. Many examples are provided in the book, some teach you how to trace and encode boundaries in binary, indexed and colour images. Other examples explain how to encode a boundary as a sequence of straight-line segments which is important for shape recognition. A new method of edge detection in two- and three-dimensional images is suggested. Also, a discussion problem is included in the book: A derivative is defined as the limit of the relation of the increment of the function to the increment of the argument as the latter tends to zero. Is it not better to estimate derivatives as the relation of the increment of the function to the optimal increment of the argument instead of taking exceedingly small increment which leads to errors? This book addresses all above questions and provide the answers.
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