A non-linear pipeline architecture is proposed for efficient and high-speed implementation of morphological filters. This non-linear processor is composed of dual architectures or units which implement respectively the two basic morphological transformations: dilation and erosion. Throughput and hardware complexity are analyzed; and comparisons are given for different sizes and gray-scales of s...

UNLABELLED Trabecular plates and rods are important microarchitectural features in determining mechanical properties of trabecular bone. A complete volumetric decomposition of individual trabecular plates and rods was used to assess the orientation and morphology of 71 human trabecular bone samples. The ITS-based morphological analyses better characterize microarchitecture and help predict anis...

Interest in multiresolution techniques for signal processing and analysis is increasing steadily. An important instance of such a technique is the so-called pyramid decomposition scheme. This paper presents a general theory for constructing linear as well as nonlinear pyramid decomposition schemes for signal analysis and synthesis. The proposed theory is based on the following ingredients: 1) t...

A semi-automatic object detection method based on mathematical morphology image processing techniques is presented. This paper does not present a complete methodology but rather an illustration of a potential application of mathematical morphology to medical images. The method based on mathematical morphology tools includes an improved multiresolution morphological decomposition algorithm (IMMD...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

Convolutions are a fundamental tool in image processing. Classical examples of two dimensional linear convolutions include image correlation, the mean filter, the discrete Fourier transform, and a multitude of edge mask filters. Nonlinear convolutions are used in such operations as the median filter, the medial axis transform, and erosion and dilation as defined in mathematical morphology. For ...

AbstructEfficient implementation of morphological operations requires the decomposition of structuring elements into the dilation of smaller structuring elements. Zhuang and Haralick presented a search algorithm to find optimal decompositions of structuring elements in binary morphology. In this paper, we use the concepts of Top of a set and Umbra of a surface to extend this algorithm to find a...

Empirical Mode Decomposition (EMD) is a signal decomposition technique particularly suitable for non-stationary and non-linear signals. In this paper, two target detection methods with improved accuracy in side scan sonar images are proposed. In the first method, target detection is based on morphological operations; the second method combines Empirical Mode Decomposition (EMD) with morphologic...

| EEcient implementation of morphological operations requires the decomposition of structuring elements into the dilation of smaller structuring elements. Zhuang and Haralick presented a search algorithm to nd optimal decompositions of structuring elements in binary morphology. In this paper we use the concepts of Top of a set and Umbra of a surface to extend this algorithm to nd an optimal dec...