Siegel Descriptors for Image Processing
نویسندگان
چکیده
منابع مشابه
A Survey of Shape Descriptors for Digital Image Processing
Automatic image retrieval is an important research problem considering its usage and ever increasing volume of image data existed in different kinds of databases both on the web as well as in the network computing system. Image retrieval is normally being done using label attachment to each of the image. This may be either a text document generated manually for annotation or feature map extract...
متن کاملFixed-Window Image Descriptors for Image Retrieval
IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, February 1995 We work towards a content-based image retrieval system, where queries can be image-like objects. At entry time, each image is processed to yield a large number of indices into its windows. A window is a square in a xed quad-tree decomposition of the image, and an index is a xed-size vector, called a descriptor, sim...
متن کاملProcessing Digital Image for Measurement of Crack Dimensions in Concrete
The elements of the concrete structure are most frequently affected by cracking. Crack detection is essential to ensure safety and performance during its service life. Cracks do not have a regular shape, in order to achieve the exact dimensions of the crack; the general mathematical formulae are by no means applicable. The authors have proposed a new method which aims to measure the crack dimen...
متن کاملFragmentation measurement using image processing
In this research, first of all, the existing problems in fragmentation measurement are reviewed for the sake of its fast and reliable evaluation. Then, the available methods used for evaluation of blast results are mentioned. The produced errors especially in recognizing the rock fragments in computer-aided methods, and also, the importance of determination of their sizes in the image analysis ...
متن کاملLocal Image Descriptors for Matching and Classification Local Image Descriptors for Matching and Classification Title: Local Image Descriptors for Matching and Classification Acknowledgements
This thesis considers view-based object recognition in images, a problem that is still lacking an effective solution despite decades of research in computer vision. It is worth remembering that recognising an object from its appearance is considered as a keystone for image understanding, one of the most challenging problems in computer vision. The study and the analysis of the visual informatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2016
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2016.2542850