Local Scale Measure for Remote Sensing Images
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Shape-based Invariant Texture Indexing
International Journal of Computer Vision
Self-dual attribute profiles for the analysis of remote sensing images
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction
SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences
International Journal of Computer Vision
Computation of level lines of 4-/8-connectedness
Journal of Visual Communication and Image Representation
On the Role of Contrast and Regularity in Perceptual Boundary Saliency
Journal of Mathematical Imaging and Vision
Component-Trees and Multivalued Images: Structural Properties
Journal of Mathematical Imaging and Vision
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This volume discusses the basic geometric contents of an image and presents a tree data structure to handle those contents efficiently. The nodes of the tree are derived from connected components of level sets of the intensity, while the edges represent inclusion information. Grain filters, morphological operators simplifying these geometric contents, are analyzed and several applications to image comparison and registration, and to edge and corner detection, are presented.The mathematically inclined reader may be most interested in Chapters 2 to 6, which generalize the topological Morse description to continuous or semicontinuous functions, while mathematical morphologists may more closely consider grain filters in Chapter 3. Computer scientists will find algorithmic considerations in Chapters 6 and 7, the full justification of which may be found in Chapters 2 and 4 respectively. Lastly, all readers can learn more about the motivation for this work in the image processing applications presented in Chapter 8.