Object (image processing)

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Topic: Object (image processing)

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	Detecting a Cell Using Image Segmentation (Image Processing Toolbox Morphology Demos)
		The object to be segmented differs greatly in contrast from the background image.
		One way to calculate the gradient of an image is the Sobel operator, which creates a binary mask using a user-specified threshold value.We determine a threshold value using the
		An alternate method for displaying the segmented object would be to place an outline around the segmented cell.
	www.clemson.edu /cle4_share/CWE/COES0915_CLUG/REFERENCE/matlabr14/toolbox/images/imdemos/html/morph2.html (413 words)

	Image Processing
		Object Image v2.10 has additional features compared to NIH Image and runs on MacOS X as well as OS 9.
		You should be using Object-Image v2.10 or ImageJ v1.30 or later.
		Finally there are two plugins described on the Scale Issues page that help you deal with scale issues for images and add scale bars.
	www.stanford.edu /group/bioconfocal/image.html (680 words)

	Image Processing
		This chapter describes several well-known techniques in the field of image processing which were found to be helpful during the course of this project.
		The design of image filters which utilize discrete convolution is based very closely on the theory of continuous convolution and the properties of the continuous functions which might make appropriate convolution kernels.
		In this thesis, its sole application is to transform a grayscale image (or a color image, via the color-to-grayscale filter discussed earlier) into a binary image.
	www.reed.edu /~nobles/thesis/node3.html (2252 words)

	Microscope image processing - Wikipedia, the free encyclopedia
		Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope.
		Since most microscopic samples are essentially transparent, and the depth of field of the focused sample is exceptionally narrow, it is possible to capture images "through" a three-dimensional object using 2D equipment.
		Such processing is now commonplace in a number of diverse fields such as medicine, biological research, cancer research, drug testing, metallurgy, etc. A number of manufacturers of microscopes now specifically design in features that allow interface to an image processing system.
	en.wikipedia.org /wiki/Microscope_image_processing (976 words)

	Point Operations - Adaptive Thresholding
		Thresholding is used to segment an image by setting all pixels whose intensity values are above a threshold to a foreground value and all the remaining pixels to a background value.
		Like global thresholding, adaptive thresholding is used to separate desirable foreground image objects from the background based on the difference in pixel intensities of each region.
		The latter image shows a much better result than that achieved with a global threshold, but it is still missing some pixels in the center of the object.
	www.cee.hw.ac.uk /hipr/html/adpthrsh.html (1059 words)

	Getting Started (Image Processing Toolbox)
		In the pseudo-color image, the number that identifies each object in the label matrix maps to a different color in the associated colormap matrix.
		The Image Processing Toolbox also has some statistical functions, such as
		Notice that the background illumination is brighter in the center of the image than at the bottom.
	www.eecs.umich.edu /dco/faq/matlab-6.5/help/toolbox/images/getting3.html (1645 words)

	(WO 01/26050) IMPROVED IMAGE SEGMENTATION PROCESSING BY USER-GUIDED IMAGE PROCESSING TECHNIQUES
		The region of interest is repositioned from image to image on the basis of detected motion of the object indicated by the region of interest.
		Machine image segmentation processing is constrained to a region of interest indicated by the operator using the drawing tool.
		A resulting key signal may be manipulated by the operator in a number of respects and outputted for use in subsequent processing of the image, including color correction.
	www.wipo.int /ipdl/IPDL-CIMAGES/view/pct/getbykey5?KEY=01/26050.010412 (255 words)

	PHD abstract
		In the last decade technological progress has propelled the development of non-linear techniques for color image processing, solving various problems, such as the prohibitively great cost of the hardware required, etc. Most of the non-linear scalar techniques for gray-scale image processing are not directly applicable to color images, due to the vector nature of color.
		Color image processing is one of the most recent and interesting areas in the wider field of digital image processing.
		Therefore, is of significant importance to develop hardware structures for the implementation of vector morphological operations, so as to accelerate morphological color image processing.
	users.otenet.gr /~mvar/abstract.html (905 words)

	Microscope
		This is an optical instrument containing one or more lenses that produce an enlarged image of object and works by refraction (the bending of light).
		A microscope is an instrument for viewing objects are too small to be seen by naked eye.
		The science of investigating small objects using this is called microscopy.
	www.freeglossary.com /Microscope (380 words)

	Kodak R&D: Digital Image Processing
		Image processing algorithms-- based on complex statistical methods and artificial intelligence -- may also be used to perform such operations as automatic color balancing, object and text recognition and image enhancement and manipulation.
		Image processing is used to control image sharpness, noise and color reproduction.
		Digital photofinishing involves the processing of electronically scanned film images or direct-capture digital images to produce optimally pleasing hardcopy or softcopy output.
	www.kodak.com /US/en/corp/researchDevelopment/whatWeDo/imaging/digitalImageProcessing.shtml (631 words)

	2759.html
		Image processing is accomplished by passing objects to kernel calls, which implement various image processing routines.
		Since this is an image processing package, the most comprehensive object is the image object.
		The multi channel implementation of the image object supports the new feature of BRAINS2 over the original BRAINS software by allowing "superimage" viewing, which is the display of T1, T2, and PD images simultaneously in an RGB display.
	www.neurologie.uni-duesseldorf.de /HBM99/cd/methods/2759.html (734 words)

	Image Thresholding for Object Detection
		Images with more types of objects (especially those of different colors) would conceivably be segmentable using these algorithms, but it would be more difficult and require more logic since more than one type of object would be found in each component image.
		That is, their output is an image in which pixels representing objects are white and the background is black.
		Overall success of each algorithm was calculated by examining each of a series of test images, and then recording the number of times the objects were identified correctly.
	arl.stanford.edu /projects/helicopters/final.html (1800 words)

	ITK - Image and Signal Processing - Research - Scientific Computing and Imaging Institute
		The Insight Toolkit (ITK) is an open source, freely available, object-oriented software package for medical image processing, segmentation, and registration.
		The Insight Software Consortium has met its primary goals for the creation of an archival vehicle for image processing algorithms and an established functioning platform to accelerate new research efforts.
		ITK - Image and Signal Processing - Research - Scientific Computing and Imaging Institute
	www.sci.utah.edu /research/itk.html (358 words)

	PEER GROUP PROCESSING FOR IMAGE SEGMENTATION
		Parameters are directly related to the image objects to be enhanced, while, for most techniques, the method of parameter selection is unclear.
		BACKGROUND: Edge or boundary detection and image segmentation often constitute a crucial initial step before performing high-level tasks such as object recognition and scene interpretation.
		DESCRIPTION: Researchers at the University of California have developed a peer group averaging (PGA) method for segmenting and enhancing images for further processing.
	research.ucsb.edu /policy/tech/1997-158__Peer_Group_Processing_for_Image_Segmentation_files/1997-158__Peer_Group_Processing_for_Image_Segmentation.htm (149 words)

	3D-DOCTOR Features, 3D Medical Imaging, Volume Visualization, 3D Image Processing, Segmentation, MRI, CT, DICOM, 3D Imaging, Microscopy, TIFF, PNG, JPEG, DXF, STL, Rendering, Modeling
		Other image processing functions include: template-based scanned film cropping, volume resizing, 3D image filtering, Image rotation, orientation adjustment, contrast adjustment, background removal, image combination, linear feature extraction, pattern recognition, segmentation, image mosaic, and color classification can all be performed on your 3D images.
		3D Computed Tomography: Create parallel cross-section, volume images using x-ray images taken at angles around an object.
		Images of different modalities can be registered using the 3D image registration function and fused together to create a new fusion image.
	www.ablesw.com /3d-doctor/3ddoctor.html (519 words)

	A Distributed Memory Architecture for Morphological Image Processing
		With the popularity of object based coding methods, mathematical morphology has become a popular technique for image segmentation.
		Morphological filters are used in a pre-processing step to improve the chances of obtaining meaningful segmentation results.
		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)

	GIP-T8 & T9
		image, profile) means to convert this object into numbers
		% Determine the Number of Objects in the Image
		Compare the number of beans that you received in Example II-4 (Tutorial 7) with the number of beans on the image that you have received in Example II-3 (Tutorials 8 and 9).
	osiris.sunderland.ac.uk /~cs0vpl/GIP-T8-9.htm (424 words)

	untitled
		The goal of this project is to use morphological image processing techniques to identify and filter out a synthetic object within a photographic background.
		This is a web-based introductory course in digital image processing.
		The subjects are grayscale images of radio telescopes from around the world, as shown in figure 1.
	www.cis.rit.edu /class/simg782.old/morphology.html (191 words)

	Cellular Associative Symbolic Processing for Pattern Recognition (ResearchIndex)
		The system follows a cellular automata like operation and the aim is to transform initial symbolic descriptions of patterns to the corresponding object level ones in order to identify patterns in complex or...
		A cellular network of associative processors capable of symbolic processing is described in this paper.
		26 An associative memory for use in image recognition and occlu..
	citeseer.ist.psu.edu /164646.html (191 words)

	ES6973-2005
		Fundamentals, algorithms, and techniques of remote sensing image processing, information extraction and analysis, including radiometric and geometric corrections, image enhancement, image sharpening, principal components analysis, image classification (pixel-based, object-oriented, and decision tree), spectral analysis, vectorization, integration with GIS, etc..
		Lab exercise is very important for you to actually understand the image processing techniques, to use image processing software package, and to solve real world problems.
		Beyond the techniques, the student should develop an understanding of what kind of information can be extracted from different types of imagery, what kind of application needs what types of imagery, and what the limitations of the imagery are.
	www.utsa.edu /LRSG/Teaching/ES6973/Syllabus6973.html (441 words)

	Books : Digital Image Processing Using MATLAB
		The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morpohological image processing, image segmentation, regions and boundary representation and description, and object recognition.
		This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing.
		If you want to get up to speed on Matlab and plan to use it for image processing, this book is a must.
	www.cellphonegamesdownload.com /0130085197/Digital_Image_Processing_Using_MATLAB.shtml (441 words)

	Classification of Mixed Prairie Pasture Types in Southern Alberta
		Object-oriented image processing techniques were applied to two types of panchromatic data: a 0.75 m spatial resolution orthophotograph and a 5 m IRS image of a forested landscape in northern
		This paper examines object-oriented image classification techniques as an alternative to the traditional pixel-based classification techniques.
		Object-oriented image classification works by first segmenting an image into meaningful image objects that can then be classified with a set of spectral and shape characteristics as well as logical statements (e.g., adjacency rules).
	www.ucalgary.ca /mgis/studentres/2003_JPereverzoff.htm (292 words)

	Object-Oriented Communication In Image Processing Systems (ResearchIndex)
		Abstract: Most image processing systems contain a set of predefined data structures which represent images, edges, regions etc. However, there is usually little support for user-defined data types or for extensions of existing types.
		Experimental Environments for Computer Vision and Image Processing
		In this article, an object-oriented communication scheme based on persistent objects is presented.
	citeseer.ist.psu.edu /52885.html (367 words)

	IngentaConnect OBJECT-ORIENTED KNOWLEDGE-BASED SYSTEM FOR IMAGE DIAGNOSIS
		Knowledge objects are constructed that embed specialized methods or metaknowledge in image processing.
		Cancer cell lesion classification is used as an application domain to illustrate how image diagnosis can be implemented in our system.
		Results attest to the efficacy of this framework in both image recognition and diagnosis.
	api.ingentaconnect.com /content/tandf/uaai/1996/00000010/00000005/art00002 (198 words)

	Concept and Realization of an Object-Oriented Class-Library designed for 3-D Image Processing and Visualization in Medical Diagnostics (ResearchIndex)
		4 Pattern recognition and image processing in C (context) - Paulus, Hornegger - 1996
		A set of object- oriented class libraries was designed to work on several operating systems (e.g.
		Abstract: For interactive diagnostics or therapy planning on tomographic images hard- and software as well as concept specific dependencies should be avoided to reduce development costs and to increase portability to other platforms.
	citeseer.ist.psu.edu /203397.html (379 words)

	MORPHOSCOPE * object-oriented image analysis
		The well-defined interface combines transparently advanced methods of image understanding, such as nonlinear image processing and user-controlled machine learning:
		It considers the context- and domain-dependent expert-knowledge of users and is especially suited for the high demands of biomedical image analysis.
		The movel concept of Morphoscope enables reliable and reproducible identification of visually relevant image structures.
	www.morphoscope.com /technology.html (165 words)

	Imaging
		Soft Imaging System produces and services image analysis software and hardware for digital image acquisition, processing, analyzing, archiving and report
		Imaging Science is the science of the creation and/or utilization of visual representations of measurable properties of persons, objects, or phenomena.
		The Automated Imaging Association (AIA) is a non-profit trade association dedicated to promoting the use of image capture and analysis technology.
	linkget.com /q/imaging.htm (671 words)

	KIOSK Magazine Online - 3duidesign
		Video Post Processing effects allow the rendered image output to be further manipulated (for each frame of the animation) by passing the image data to further post-processing modules, often plug-ins such as Digimation's Fractal Flow, for further enhancement and/or effects processing.
		Object animation makes an object move, but the viewport remains relatively fixed; an example of this would be logo animations like those seen on TV.
		Many 3D animation software packages are over two decades old, several having their origins on the venerable Amiga computer platform, which recently became available again after a decade of inactivity (see www.amiga.com).
	www.kiomag.com /3duidesign (2020 words)

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