373 Result(s)
within
Engineering
Image Processing and Computer Vision
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Chapter
Conference Paper
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Chapter and Conference Paper
Genetic algorithm for thinning gray-scale images of characters
In this paper, we propose a new method for thinning digital gray-scale pictures by fitting piece-wise linear line to skelton. The method is not based on the point-wise gray-value information as Salari and Siy ...
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Chapter and Conference Paper
On a new basic concept and topological invariant
Component is one of the most basic topological concepts for digital images. However, there is still few simple method, to date, permitting to distinguish holes from external borders. Such theoretic difficulty ...
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Chapter and Conference Paper
Segmentation/reconstruction of range images based on piecewise-linear approximation
A technique for segmenting and reconstructing range images of polyhedral objects is presented. A piecewise-linear approximation based on a triangulation of the image is computed first. Optimization techniques ...
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Chapter and Conference Paper
A new parallel method based on a genetic approach for determination and classification of skin spots
A low cost CCD camera system connected to a transputer network as a parallel processing device has been developed for the determination of human skin objects. Ultraviolet, visible and penetrative infrared imag...
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Chapter and Conference Paper
A code based approach to image-processing teaching
The Pacco Teaching Tools library extends Pacco, an object-oriented data-processing environment, and offers a new approach to i.p. teaching where the source code is placed at the centre of the educational exper...
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Chapter and Conference Paper
Document image analysis: What is missing?
The conversion of documents into electronic form has proved more difficult than anticipated. Document image analysis still accounts for only a small fraction of the rapidly-expanding document imaging market. N...
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Chapter and Conference Paper
Bayesian image reconstruction using a high-order interacting MRF model
We propose a Markov Random Field image model formulated using both low-order and high-order interactions of the pixels for piecewise smooth image reconstruction. We discuss and compare the applications of two ...
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Chapter and Conference Paper
A new heuristic search for boundary detection
Using the A* algorithm, we propose a new heuristic search strategy to find object boundaries. We show that a cost function with a Gaussian curvature is more appropriate to develop only the best paths. An applicat...
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Chapter and Conference Paper
Evaluating digital angles by a parallel diffusion process
This paper describes a new method that uses the diffusion-like process to classify angles in a image. The proposed method exploits the curvature value of a contour line to characterize the correspondent angle....
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Chapter and Conference Paper
Edge detection filters based on artificial neural networks
This paper presents quantitative results on the problem of edge detection using neural network filters. These results are compared with the results provided by the derivative of the Gaussian edge detection fil...
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Chapter and Conference Paper
A robust analytical approach for handwritten word recognition
This paper presents a system for handwritten word recognition based on an analytical approach. Through a fast segmentation procedure, basic strokes are detected and used to recognize the word by a bottom-up ap...
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Chapter and Conference Paper
Symbolic indexing of cardiological sequences through dynamic curve representations
Digital image analysis supports diagnostic activities by highlighting geometric and temporal features of physiological phenomena that are not perceivable to the human observation. These features can be exploit...
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Chapter and Conference Paper
Robust features for textures in additive noise
The paper describes a method for texture classification in noise by using third-order cumulants as discriminating features. The problem is formulated as a test on K hypotheses and solved by a Maximum Likelihoo...
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Chapter and Conference Paper
Directions analysis in grey-level images
This paper presents a study of anisotropy in digital images, i.e. the detection of main directions and the quantification of their occurrence rate. Human vision is usually very powerful for such a feature-base...
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Chapter and Conference Paper
Occluded objects recognition using multiscale features and Hopfield neural networks
A new method to recognize partially visible two-dimensional objects by means of multiscale features and Hopfield neural network is proposed. The Hopfield network is employed to perform global feature matching....
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Chapter and Conference Paper
Generalized square isometries — an improvement for fractal image coding
Most recent advances in fractal image coding have been concentrating on better adaptive coding algorithms, on extending the variety of the blocks and on search strategies to reduce the encoding time. Very litt...
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Chapter and Conference Paper
A proposal on local and adaptive determination of filter scale for edge detection
In this work a proposal about local and adaptive scale selection in edge detection is presented. Such a proposal follows Canny's optimality criterion, i.e., the smallest scale that provides a minimum value for...
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Chapter and Conference Paper
A.I. based image segmentation
The paper will show a possible model of the human perceptive process. With the aim to implement the model we have introduced a well know technique of Problem Solving.
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Chapter and Conference Paper
Image retrieval by elastic matching of user sketches
Image retrieval by contents from database is a major research subject in advanced multimedia systems. The intrinsic visuality associated with pictorial data suggests the use of iconic indexes and visual techni...
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Chapter and Conference Paper
The impact of aliasing and quantization on motion compensation
Motion estimation is among the key techniques for a variety of problems in image sequence processing. Even for ideal conditions, when all temporal changes in the image sequence are solely due to motion, the pe...
