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Topic: Morphological image processing

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	Image processing - Wikipedia, the free encyclopedia
		The extraction of arbitrary information from images is the domain of image analysis, which includes pattern recognition when the patterns to be identified are in images.
		The tools and concepts of image processing are also relevant to image synthesis from more abstract models, which is a major branch of computer graphics.
		Specialized hardware is still used for digital image processing: computer architectures based on pipelining have been the most commercially successful, but many different massively parallel architectures were developed as well.
	en.wikipedia.org /wiki/Image_processing (555 words)

	Morphological image processing - Wikipedia, the free encyclopedia (Site not responding. Last check: 2007-11-06)
		A collection of techniques for digital image processing based on Mathematical morphology.
		Since these techniques rely only on the relative ordering of pixel values, not on their numerical values, they are especially suited to the processing of binary images and grayscale images whose light transfer function is not known.
		By combining these operators one can obtain algorithms for many image processing tasks, such as feature detection, image segmentation, image sharpening, image filtering, granulometry and distance transforms.
	www.encyclopedia-online.info /Morphological_image_processing (110 words)

	Visual Numerics - Developers of IMSL and PV-WAVE
		Point operations are image processing operations where each pixel in the output image is dependent only upon the corresponding pixel in the input image.
		Filtering is an image processing operation that is normally used to remove unwanted information in an image or to enhance the information already present.
		Image representation and description are operations which are sometimes used to preprocess images for pattern recognition and classification.
	www.vni.com /products/wave/ip_flyer.html (848 words)

	SPIE Bookstore
		Because the morphological operations can serve as a universal language for image processing, their application is only limited by the ability to design effective algorithms and efficient computational implementation.
		The third and fourth chapters discuss the processing of binary images, the third focusing on applications of the primary operators, and the fourth on the hit-or-miss transform, which processes an image directly in terms of the foreground-background relation.
		Morphological image processing is based on probing an image with structuring elements, and these determine the relationships within image structure that an algorithm can ascertain.
	bookstore.spie.org /index.cfm?fuseaction=DetailVolume&productid=501104 (924 words)

	Morphological Operations (Image Processing Toolbox) (Site not responding. Last check: 2007-11-06)
		Morphological reconstruction is another major part of morphological image processing.
		Processing is based on two images, a marker and a mask, rather than one image and a structuring element
		Processing is based on the concept of connectivity, rather than a structuring element.
	www.haystack.edu /computing/matlab6.5/help/toolbox/images/morph10.html (147 words)

	Digital image processing (Site not responding. Last check: 2007-11-06)
		Digital image processing is the study of algorithms appliedto digital images.
		The extraction of arbitraryinformation from images is the domain of image analysis, which includes pattern recognition when the patterns to be identified are inimages.
		The tools and concepts of image processing are alsorelevant to image synthesis from more abstract models, which is amajor branch of computer graphics.
	www.therfcc.org /digital-image-processing-4503.html (180 words)

	Automatic Noise Floor Spectrum Estimation in the Presence of Signals (Site not responding. Last check: 2007-11-06)
		The image is eroded in the sense that there are fewer pixels “on”; than in the original image.
		To dilate the image, whenever the origin pixel in the kernel K aligns with an image pixel that is “on”;, the output image pixels corresponding to the kernel are turned “on”.
		Image shapes can be isolated by first eroding then dilating the image as shown in Figure 4.
	www.appsig.com /papers/l829b/829b_2.html (357 words)

	Digital Image Processing Results (Site not responding. Last check: 2007-11-06)
		Image processing: an image from a video camera or other detector can be digitized...
		This book presents digital image processing algorithms in a systematic way, accompanied by a demonstration of their implementation using C code.
		Many types of remote sensing images are routinely recorded in digital form and then processed by computers to produce images for interpreters to study.
	www.digital-imaging-net.com /directory/digital-image-processing.html (496 words)

	BASIC MORPHOLOGICAL IMAGE PROCESSING OPERATIONS: A TUTORIAL (Site not responding. Last check: 2007-11-06)
		The basic idea is to probe an image with a template shape, which is called structuring element, to quantify the manner in which the structuring element fits within a given image.
		Thus, eroding an image can be accomplished by dilating the complement of the image, while dilating an image can be accomplished by eroding the complement of the image.
		Proceedings of SPIE Symposium on Image Algebra and Morphological Image Processing, 262-270.
	www.dai.ed.ac.uk /CVonline/LOCAL_COPIES/GASTERATOS/SOFT/2.htm (1305 words)

	Book: Hands-on Morphological Image Processing
		Morphological image processing - now a standard part of the imaging scientist's toolbox - can be applied to a wide range of industrial applications.
		Because the morphological operations can serve as a universal language for image processing, their application is limited only by the user's ability to design effective algorithms and implement efficient computations.
		The book is hands-on in a very real sense: readers will be able to download a demonstration toolbox of techniques and images free from the web so they can process the images according to examples in the text.
	ams.jrc.it /mdigest/DIGEST/Digest03-4/node4.html (207 words)

	efg's Image Processing: Software Packages
		Image Analysis: IGOR Pro includes a number of sophisticated operations for image processing and image analysis.
		The KUIM image processing system was implemented at the University of Kansas to support teaching and basic image processing and computer vision research.
		The system consists of over 100 general purpose image analysis programs implemented in C. In addition, there are Java based graphical user interfaces for roughly 50 of these image processing programs which enable the user to adjust input parameters and see their effects on corresponding output images.
	www.efg2.com /Lab/Library/ImageProcessing/SoftwarePackages.htm (1142 words)

	Image Morphing Based on Morphological Interpolation Combined with Linear Filtering (Site not responding. Last check: 2007-11-06)
		ABSTRACT This paper describes a novel approach to color image morphing which is based on the combination of morphological image processing tools and linear filtering.
		In the proposed method the morphing engine is provided by the morphological interpolation by means of the morphological median.
		By the successive generation of morphological medians using an algorithm proposed in the paper, the sequence transforming one input image into another one is produced.
	wscg.zcu.cz /wscg2002/Abstracts_2002/A23-Abstract.htm (212 words)

	Morphological Image Processing (MBH) (Site not responding. Last check: 2007-11-06)
		Mathematical Morphology for image processing consists of applying basic set operations to an image.
		Image Analysis of Morphology of crop plants - Image Analysis of Morphology of Crop Plants.
		Center for Mathematical Morphology - Image processing Laboratory of the Ecole des Mines de Paris.
	folk.uio.no /mbh (260 words)

	QCAV 2003 - Dr. Edward R. Dougherty - Key Speaker Bio (Site not responding. Last check: 2007-11-06)
		Dougherty was an originator of the automatic design of morphological operators for image processing and the consequent application of pattern recognition theory to nonlinear image processing.
		The key to successful morphological image processing is the selection of structuring elements.
		This talk discusses automatic algorithm design, where morphological operators are designed based on sample data, structural decomposition, and criteria set by the imaging scientist.
	www.ornl.gov /sci/qcav2003/dougherty.htm (227 words)

	efg's Image Processing: Algorithms
		Unsharp masking is a photographic technique that increases the sharpness of photographic images.
		Morphological Image Analysis: Principles and Applications (June 1999).
		Understanding image sharpness part 1: resolution and MTF curves in film and lenses.
	www.efg2.com /Lab/Library/ImageProcessing/Algorithms.htm (1595 words)

	Computer Vision Source Code
		Able Image Analyser supports image analysis functions that include dimensional, gray scale and 24 bits color measurements: distance, area, angle, point, line, pixel profile, histogram etc. (from images or selections) with statistics that calculate basic statistics (count, mean, median, minimum, maximum, range, variance, standard deviation, coefficient of variation, skew and kurtosis) and frequencies.
		Image processing and analysis in Java - ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh.
		A directional image model, whose inputs are the number and location of the fingerprint cores and deltas, is used for tuning the filters.
	www.cs.cmu.edu /afs/cs/project/cil/ftp/html/txtv-source.html (9824 words)

	Morphological Image Sequence Processing (ResearchIndex) (Site not responding. Last check: 2007-11-06)
		Abstract: We present a morphological multi-scale method for image sequence processing, which results in a truly coupled spatio-temporal anisotropic diffusion.
		The aim of the method is not to smooth the level-sets of single frames but to denoise the whole sequence while retaining geometric features such as spatial edges and highly accelerated motions.
		192 Axioms and fundamental equations of image processing (context) - Alvarez, Guichard et al.
	citeseer.ist.psu.edu /583991.html (608 words)

	BASIC MORPHOLOGICAL IMAGE PROCESSING OPERATIONS: A TUTORIAL (Site not responding. Last check: 2007-11-06)
		The intent of this communication is to present the fundamental morphological imaging concepts.
		The recent expansion of interest is evidenced in the many industrial applications that have been developed or currently being developed.
		In order to improve the behaviour of standard morphological filters, soft morphological filters have been introduced.
	www.dai.ed.ac.uk /CVonline/LOCAL_COPIES/GASTERATOS/SOFT/4.htm (90 words)

	A Distributed Memory Architecture for Morphological Image Processing (Site not responding. Last check: 2007-11-06)
		Morphological filters are used in a pre-processing step to improve the chances of obtaining meaningful segmentation results.
		In this paper, an efficient architecture is proposed for performing morphological operations by utilizing the inherent pipelining that exists in these operations and the inherent parallelism in the incoming data.
		It is distributed memory architecture with four processing elements operating under the control of a master processor.
	csdl2.computer.org /persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/itcc/2003/1916/00/1916toc.xml&DOI=10.1109/ITCC.2003.1197586 (221 words)

	A Monolithic Mixed-Mode Implementation of Sum-of-Product Arrays for Performing Binary Morphological Image Processing ... (Site not responding. Last check: 2007-11-06)
		Abstract: This paper presents a monolithic mixed-mode implementation of sum-of-product arrays that are capable of performing morphological image processing in silicon.
		The digital equations of the two basic morphological operations, erosion and dilation, are rewritten in a local, mixed-mode form to facilitate hardware implementation and results are shown for a 3x3 selective element array fabricated in silicon.
		INTRODUCTION Morphology is the study of structure in images [1] and [2].
	citeseer.ist.psu.edu /257194.html (238 words)

	EE569 Digital Image Processing
		Morphological image processing (for gray scale or color images)
		Applications of image processing in process control or manufacturing industry
		You are required to implement 1-2 recent techniques on the images and prepare a written report, including output images, tables etc..
	www.clarkson.edu /class/image_process/TERMPAPER_ImageProcessing.htm (236 words)

	Digital Imaging Processing / Java Applications / Morphological Image Processing
		Dilates a binary image with a binary structuring element.
		Displays a binary image, a structuring element and the result of performing a morphological operation on the image using it.
		Performs a hit and miss transform on a binary image using a pair of structuring elements.
	www.ifi.uio.no /inf160/Efford/Apps/Chap11 (118 words)

	Citations: Methods for fast morphological image transforms using bitmapped binary images - van Boomgaard, van Balen ... (Site not responding. Last check: 2007-11-06)
		Erosion and Dilation on 2D and 3D Digital Images: A new..
		....element, whereas dilation is a process that elongates the interior of the object.
		use a bitmap representation of binary images because the CPU operates on 32 pixels in parallel.
	citeseer.ist.psu.edu /context/1895766/0 (200 words)

	Citations: Image Algebra and Morphological Image Processing - Bloomberg, Maragos (ResearchIndex) (Site not responding. Last check: 2007-11-06)
		Citations: Image Algebra and Morphological Image Processing - Bloomberg, Maragos (ResearchIndex)
		Feature extraction and encoding: The purpose of the feature extraction is to exploit typographic layout conventions to match the page image with a description of a high resolution image in the database.
		A better approach is to project an image that can be located by the image processing system, allowing the system to self calibrate without any assistance from the user [19] The current system projects a thick plus sign, and uses image morphology routines by Dan Bloomberg
	citeseer.ist.psu.edu /context/447448/0 (328 words)

	Morphological Filtering of Infrared Cirrus Emission on Parallel and Distributed Computers (Site not responding. Last check: 2007-11-06)
		The key feature of morphological image processing is its ability to discriminate features based on shape (hence the name).
		Initial results using a Gaussian structuring element indicate an ~15x reduction in the average level of cirrus emission in the 100microns IRAS image of the M81/M82 field.
		The parallel processing platforms we have used are the MasPar MP-1 and MP-2, the Thinking Machines Corporation CM-5, the Intel Paragon, and the Kendall Square Research KSR-1.
	cadcwww.dao.nrc.ca /abstracts/pedelty.tex.html (424 words)

	Figures
		Chapter 3 - Morphological Processing of Binary Images
		Chapter 6 - Morphological Processing of Gray-Scale Images
		Segmentation of cornea cells from a noise image
	www.mmorph.com /handson/handson/fig/index.html (77 words)

	SDC Morphology Toolbox for MATLAB
		Discover the power of Morphological Image Processing with the SDC Morphology Toolbox for MATLAB (Latest version is 1.3 21Apr04).
		The SDC Morphology Toolbox for MATLAB is a powerful collection of latest state-of-the-art gray-scale morphological tools that can be applied to image segmentation, non-linear filtering, pattern recognition and image analysis.
		Image (2D arrays), volume or sequence processing (3D arrays) and signal processing (1D arrays)
	www.mmorph.com (233 words)

	Speech, Image, and Video Processing Lab - UWEE (Site not responding. Last check: 2007-11-06)
		We adhere to the departmental mission statement of "educational excellence through cutting edge research," and offer a large number of courses from the introductory undergraduate level to advanced graduate courses and directed study.
		Signal processing touches a large variety of engineering problems, from communications to human-computer interaction to medical signal information processing.
		Fundamental theoretical work that spans multiple problem applications is in the area of time-frequency analysis, signal enhancement, models of symbolic time series, pattern recognition and data compression.
	www.ee.washington.edu /research/sivp (156 words)

	Learn more about Computer vision in the online encyclopedia. (Site not responding. Last check: 2007-11-06)
		The purpose of computer vision is to program a computer to "understand" a scene or features in an image.
		The detection, segmentation, location, and recognition of certain objects in images (e.g., human faces)
		These goals are achieved by means of pattern recognition, statistical learning, projective geometry, image processing, graph theory and other fields.
	www.onlineencyclopedia.org /c/co/computer_vision_1.html (241 words)

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