\Dimensionality" has recently been shown to be an important property in image measurement and image processing operators. It is often thought that morphological operations on an image with \volumic" (non-at) structuring elements lead to the breakdown of dimensionality. After a brief review of a new morphological scale-space, we show here that any dimensional functional of the scale-space image ...

This paper presents an alternative approach to the use of the Finite State Automata for morphology in inflectional languages. The essential feature is the use of the morphological regularities of these languages to define a fine–grained word–class–specific subclassification. Morphological analysis and generation can be performed at the level of this classification by means of simple operations ...

We introduce an algorithm for active contour segmentation in which the level set function encoding the contour is processed by median filtering using morphological amoebas. These are adaptive structure elements introduced by Lerallut et al. which can be combined with different morphological operations. Recently it has been proven that iterated amoeba median filtering of an image approximates th...

The MIND system is a single computer program incorporating an extensible set of fundamental linguistic processors that can be combined on command to carry out a great variety of tasks from grammar testing to question-answering and language translation. The program is controlled from a graphic display console from which the user can specify the sequence of operations, modify rules, edit texts an...

In all-optical processors, enhancement of image details is the result of high-pass filtering. We describe an optoelectronic processor in which detail enhancement results from the digitally calculated difference between an original input image and its low-pass filtered version. The low-pass filtering is realized through the rank-order median and the morphological opening and closing operations c...

Images contain various types of useful information that should be extracted whenever required and this information may be in the form of text present in image. Extraction of this information involves detection, localization, extraction, enhancement and recognition of the text from the given image. Mathematical morphology is the foundation of morphological image processing, which consists of a s...

We propose a novel level set method for fast image segmentation, which evolves level set functions using simple binary morphological operations. The proposed method is superior to a previously reported morphological level set method in capable of bidirectional evolution of level set functions, i.e., the interface of a level set function can either expand or shrink toward the object boundary. Th...

This paper presents a Computer Aided Detection method in Computed Tomography (CT) images of lungs using mathematical morphological operations, Early detection and treatment of lung cancer can greatly improve the survival rate of patient. Segmentation is one of the important step in analysing medical images, RASM segmentation is carried out in this paper. Pre-processing is carried out with the h...

The authors present a tokenizer and nite-state morphological analyzer [Beesley and Karttunen 2003] for Malagasy, based primarily on the discussion of Malagasy morphology in Keenan and Polinsky [1998] and Randriamasimanana [1986]. Words in Malagasy are built from roots by means of a variety of morphological operations such as compounding, afxation and reduplication. The authors analyze product...