Structuring element

About: Structuring element is a research topic. Over the lifetime, 997 publications have been published within this topic receiving 26839 citations.

Terahertz refractive index-based morphological dilation for breast carcinoma delineation

Abstract: This paper reports investigations led on the combination of the refractive index and morphological dilation to enhance performances towards breast tumour margin delineation during conserving surgeries. The refractive index map of invasive ductal and lobular carcinomas were constructed from an inverse electromagnetic problem. Morphological dilation combined with refractive index thresholding was conducted to classify the tissue regions as malignant or benign. A histology routine was conducted to evaluate the performances of various dilation geometries associated with different thresholds. It was found that the combination of a wide structuring element and high refractive index was improving the correctness of tissue classification in comparison to other configurations or without dilation. The method reports a sensitivity of around 80% and a specificity of 82% for the best case. These results indicate that combining the fundamental optical properties of tissues denoted by their refractive index with morphological dilation may open routes to define supporting procedures during breast-conserving surgeries.

Binary dilation using SKIPSM: some interesting variations

Abstract: The morphological image processing operation of binary dilation, as usually defined, cannot be implemented as a single-pass pipelined operation because it is a 'one-pixel-to- many-pixels' operation, whereas pipelining is possible only for 'one-to-one' or 'many-to-one' operations. Fortunately, there is an indirect equivalent (negate-erode-negate) which can be pipelined, and which can therefore be implemented in either hardware or software using the single-pass SKIPSM FSM (finite-state machine) paradigm. The great speed advantage of SKIPSM, which offers execution time independent of structuring element size, can therefore be extended to binary dilation also. This paper provides a procedure for incorporating these negations into SKIPSM erosion lookup tables, thus creating dilation lookup tables. It also discusses the relationship between FSM initial conditions and image boundary conditions, and 180-degree structuring element rotation. Examples are included.© (1997) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Application of image morphology in detecting and extracting the initial welding position

Abstract: A method of image morphology in detecting and extracting the initial welding position during the autonomous welding process is described. During the process, firstly visual sensing technology is used to capture the straight seam image, and secondly the image edges are detected by morphological corrosion edge detection algorithm, with which can retain the critical information while filter other interferences effectively at the same time. Then morphological processing algorithm is used to conduct the direction of filter by selecting the multidirectional linear structuring elements and finally get the initial weld position point coordinates with the Hough transform. The algorithm is simple, rapid, self-adaptability with high accuracy for interferences except long lines so as to accomplish the entire process of detecting the initial welding position. It can meet the practical demands of automatic guidance for robotic welding.

Shoeprint Image Retrieval by Topological and Pattern Spectra

Abstract: In this paper, we propose a novel technique for the automatic classification of noisy and incomplete shoeprint images, based on topological and pattern spectra. We first consider the pattern spectrum proposed by Maragos. We extend each spectrum with the spectrum for the complement image. We also propose a topological spectrum for a shoeprint image, based on repeated open operations with increasing size of structuring element, giving a distribution of Euler numbers. The normalised differential of this series gives the topological spectrum. We secondly propose a hybrid algorithm which uses a distance measure based on a combination of both spectra as the feature of a shoeprint image. To evaluate the performance of the techniques, we use a database of 500 'clean' shoeprints to generate five test databases each with 2500 degraded images, such as Gaussian noise, incompletion, rotation, rescale, and scene background. The statistical evaluations in terms of precision vs. recall are given in the final section. Tests show that our hybrid technique combining both spectra gives significant improvements over previously published results for edge direction histogram.

Structure Characterization Using Mathematical Morphology

Abstract: This thesis deals with the application of mathematical morphology to images of some kind of structure, with the intention of characterizing (or describing) that structure. The emphasis is placed on measuring properties of the real-world scene, rather than measuring properties of the digital image. That is, we require that the measurement tools are sampling-invariant, or at least produce a sampling-related error that is as small as possible. Filters defined by mathematical morphology can be defined both in the continuous space and the sampled space, but will produce different results in both spaces. We term these differences "discretization errors". Many of the results presented in this thesis decrease the discretization errors of morphological filters.