History Document Image Background Noise and Removal Methods
نویسندگان
چکیده
منابع مشابه
Marginal Noise Removal of Document Images
Marginal noise is a common phenomenon in document analysis which results from the scanning of thick documents or skew documents. It usually appears in the front of a large and dark region around the margin of document images. Marginal noise might cover meaningful document objects, such as text, graphics and forms. The overlapping of marginal noise with meaningful objects makes it di5cult to per...
متن کاملBackground Removal in Image Indexing and Retrieval
This paper presents our research in image content based indexing and retrieval, a key technology in digital image libraries. In most of the existing image content-based techniques, image features used for indexing and retrieval are global, features are computed over the entire image. The major problem with the global image feature based retrieval methods is that background features can be easil...
متن کاملDOCUMENT PAGE CLASSIFICATION AND NONLINEAR DIFFUSION FILTERING FOR IMAGE SEGMENTATION AND NOISE REMOVAL A Dissertation
Dong, Xiaogang Ph.D., Purdue University, May, 2007. Document Page Classification and Nonlinear Diffusion Filtering for Image Segmentation and Noise Removal. Major Professor: Ilya Pollak. We develop a real-time, strip-based, low-complexity document page classification algorithm, which can be used as a copy mode selector in the copy pipeline. It analyzes the scan images and classifies them into o...
متن کاملNonstationary Image Noise Removal (NINR)
This paper presents a spatially-varying speckle noise removal method that does not require any noise parameters or image reconstruction factors to be predetermined by the user. It automatically estimates local noise variances by solving an optimization problem that is based on the scale invariant property of ’kurtosis’ for radar imagery. Then, it aggregates multiple estimations at each pixel us...
متن کاملRetinal Image Preprocessing: Background and Noise Segmentation
Medical imaging is very popular research area these days and includes computer aided diagnosis of different diseases by taking digital images as input. Digital retinal images are used for the screening and diagnosis of diabetic retinopathy, an eye disease. An automated system for the diagnosis of diabetic retinopathy should highlight all signs of disease present in the image and in order to imp...
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: International Journal of Knowledge Content Development & Technology
سال: 2015
ISSN: 2234-0068
DOI: 10.5865/ijkct.2015.5.2.011