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Mathematical morphology supplies powerful tools for low level image analysis, with applications in many areas. In this paper, the development of a novel reconfigurable hardware using a genetic algorithm and a pipeline architecture is proposed for the task of shape recognition in binary images. For the recognition process, a large sized convex structuring element representing the object shape to be...
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very different sets of corners from frame to frame and a proper comparison of point features can be very difficult. Evaluating a multi-objective fitness function in a discrete voting space, partial similarities between deformable...
A low dimensional and easily interactive method is proposed for reconstruction of the shape of an object from its single image. By sing quadric curve surface model and Lambert light reflectance model for a continuous surface segment of the object, the number of unknowns in the reconstruction equations of that surface segment is lowed to 26 nonlinear algebra equations. Only 13 points on the corresponding...
This paper presents an algorithm to capture outline of bitmap characters. In order to obtain outline, a cubic function with one shape parameter is used. Genetic algorithm is applied to find the value of shape parameter. The procedure of capturing outline consists of the steps: boundary detection, detection of corner points, break points and fitting the curve.
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-rank constraints. Then the method finds the optimal coefficients for linear combinations of 3D shape bases to represent non-rigid 3D shapes using a genetic algorithm, and refines the 3D shape bases and the projection matrices...
A scheme of segmentation based on low-level and high-level cues is presented. Firstly, image-pyramid is obtained based on segmentation by Weighted Aggregation (SWA), the suitable coarse pixel image is selected to be as low-level segmentation cues. Kernel principal component analysis (KPCA) is used for building the space of shape to represent shape prior knowledge. The coarse pixel image is expressed...
Intelligent optimization is a vibrant area of investigation, with some of the widely known and used approaches being Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization Algorithm. An inversion algorithm for the reconstruction of natural crack shape from eddy current testing signals is developed by using an artificial neural network based forward model and intelligent inversion...
Sketch recognition is a process to identify shapes from user's sketch strokes. It is an essential component for pen-based user interface. Until now, many approaches have been proposed to achieve the recognition efficiency. However, most of them focus on improving the overall performance of the system without considering individual user's behavior or preferences. In this paper, we present an elliptic...
A hybrid model is proposed to finish image shape matching from coarse to fine, which is composed of three parts: rough matching, accurate matching, and optimum matching search. According to the partial Hausdorff distance, a fast strategy for rough matching and a new improved partial Hausdorff distance for accurate matching are presented as the measures of the degree of shape similarity between the...
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