The shape number of a curve is derived for two-dimensional non-intersecting closed curves that are the boundary of simply connected regions. This description is independent of their size, orientation and position, but...
详细信息
The shape number of a curve is derived for two-dimensional non-intersecting closed curves that are the boundary of simply connected regions. This description is independent of their size, orientation and position, but it depends on their shape. Each curve carries ″within it″ its own shape number. The order of the shape number indicates the precision with which that number describes the shape of the curve. For a curve, the order of its shape number is the length of the perimeter of a 'discrete shape' (a closed curve formed by vertical and horizontal segments, all of equal length) closely corresponding to the curve. A procedure is given that deduces, without table look-up, string matching or correlations, the shape number of any order for an arbitrary curve.
This paper reviews recent developments in the use of iterative (or ″relaxation″ ) methods in image analysis. Applications of these methods include histogram modification, noise cleaning, edge and curve detection, th...
详细信息
This paper reviews recent developments in the use of iterative (or ″relaxation″ ) methods in image analysis. Applications of these methods include histogram modification, noise cleaning, edge and curve detection, thinning, angle detection, template matching, and region labelling. These applications are briefly described, and references are given to papers and reports in which more detailed discussions and examples can be found.
Relevance feedback (RF) is an important tool to improve the performance of content-based image retrieval system. Support vector machine (SVM based RF is popular because it can generalize better than most other classif...
详细信息
ISBN:
(纸本)0769521584
Relevance feedback (RF) is an important tool to improve the performance of content-based image retrieval system. Support vector machine (SVM based RF is popular because it can generalize better than most other classifiers. However, directly using SVM in RF may not be appropriate, since SVM treats the positive and negative feedbacks equally. Given the different properties of positive samples and negative samples in RF, they should be treated differently. Considering this, we propose an orthogonal complement components analysis (OCCA) combined with SVM in this paper. We then generalize the OCCA to Hilbert space and define the kernel empirical OCCA (KEOCCA). Through experiments on a Corel Photo database with 17,800 images, we demonstrate that the proposed method can significantly improve the performance of conventional SVM-based RF.
A system is described that detects object outlines in television images in real-time. A high-speed pipeline processor transforms the raw image into an edge map and a microprocessor, which is integrated into the system...
详细信息
A system is described that detects object outlines in television images in real-time. A high-speed pipeline processor transforms the raw image into an edge map and a microprocessor, which is integrated into the system, clusters the edges and represents them as chain codes. image statistics, useful for higher level tasks such as patternrecognition, are computed by the microprocessor. Peak intensity and peak gradient values are extracted within a programmable window and are used for iris and focus control. The algorithms implemented in hardware and the pipeline processor architecture are described. The strategy for partitioning functions in the pipeline was chosen to make the implementation modular. The microprocessor interface allows flexible and adaptive control of the feature extraction process.
A method for optimizing the performance of the line detector described by Duda and Hart is presented. Comparisons are made of the error probabilities for the optimal and previous schemes. A method for approximating th...
详细信息
A method for optimizing the performance of the line detector described by Duda and Hart is presented. Comparisons are made of the error probabilities for the optimal and previous schemes. A method for approximating the optimal scheme is also presented.
A segmentation method for pap smear images is proposed to locate cellular boundary based on the stability of cellular boundary, and to locate nucleus based on the threshold deciding from the modified histogram. It emp...
详细信息
A segmentation method for pap smear images is proposed to locate cellular boundary based on the stability of cellular boundary, and to locate nucleus based on the threshold deciding from the modified histogram. It emphasizes the selection of the thresholds for nuclear and cytoplasmic boundary tracking. The authors also look into the problem of touching cells by using shape information of cellular boundary and texture information in the touching area. The proposed method, as applied to 11 scenes which contain 19 cells of different classes, works satisfactorily without any human interactions.
Real-time pose estimation of a free-hand Ultrasound (US) image without any position sensor is desirable for diagnostics and image guidance, but it suffers from poor image quality as a result of processing. The paper c...
详细信息
ISBN:
(纸本)9781424423392
Real-time pose estimation of a free-hand Ultrasound (US) image without any position sensor is desirable for diagnostics and image guidance, but it suffers from poor image quality as a result of processing. The paper confronts this problem by proposing a new 6-DOF pose estimation method based on a fast registration process making use of 3D implicit polynomials (IP). The proposed registration method has some main advantages over the traditional methods. First, our formulation is based on minimization of energy functional derived from IP gradient flow, and thus it is more efficient than traditional registration because it eliminates the cost for calculating point-wise correspondences. Second, the efficient calculation benefits from the property of IP having few coefficients, which means that both the gradient field and its transformation can be calculated in air extremely light manner Third, applying a real-time US image pose estimation, we demonstrate the capabilities of overcoming the limitations of unconstrained freehand US data, resulting in robust and fast pose estimation.
A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so ...
详细信息
A formalization is made of the concept of skeleton as encountered in patternrecognition applications, and the link which exists between skeletons, projections, and patterns is exhibited. The possibility for doing so is offered by the use of our general categorical formalization of patternrecognition.
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale imageprocessing. this algorithm works on multiple scales of the image in parallel, without iteration, to capture both coar...
详细信息
ISBN:
(纸本)0769523722
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale imageprocessing. this algorithm works on multiple scales of the image in parallel, without iteration, to capture both coarse and fine level details. The algorithm is computationally efficient, allowing to segment large images. We use the Normalized Cut graph partitioning framework of image segmentation. We construct a graph encoding pairwise pixel affinity, and partition the graph for image segmentation. We demonstrate that large image graphs can be compressed into multiple scales capturing image structure at increasingly large neighborhood. We show that the decomposition of the image segmentation graph into different scales can be determined by ecological statistics on the image grouping cues. Our segmentation algorithm works simultaneously across the graph scales, with an inter-scale constraint to ensure communication and consistency between the segmentations at each scale. As the results show, we incorporate long-range connections with linear-time complexity, providing high-quality segmentations efficiently. images that previously could not be processed because of their size have been accurately segmented thanks to this method.
Modern scanning techniques, such as computed tomography, have begun to produce true three-dimensional imagery of internal structures. The first stage in finding structure in these images, like that for standard two-di...
详细信息
Modern scanning techniques, such as computed tomography, have begun to produce true three-dimensional imagery of internal structures. The first stage in finding structure in these images, like that for standard two-dimensional images, is to evaluate a local edge operator over the image. If an edge segment in two-dimensions is modelled as an oriented unit line segment that separates unit squares (i. e. , pixels) of different intensities, then a three-dimensional edge segment is an oriented unit plane that separates unit volumes (i. e. , voxels) of different intensities. In this study the authors derive an operator that finds the best oriented plane at each point in the image. This operator, which is based directly on the 3-D problem, complements other approaches that are either interactive or heuristic extensions of 2-D techniques.
暂无评论