In classical mathematical morphology for scalar images, the natural ordering of grey levels is used to define the erosion/dilation and the derived operators. Various operators can be sequentially applied to the resulting images always using the same ordering. In this paper we propose to consider the result of a prior transformation to define the imaginary part of a complex image, where the real...

We present an automatic method for segmentation of white matter, gray matter and cerebrospinal fluid in T1weighted brain MR images. We model images in terms of spatial relationships between near voxels. Brain tissue segmentation is first performed with relative thresholding, a new segmentation mechanism which compares two voxel intensities against a relative threshold. Relative thresholding con...

A generic system is proposed to automatically extract and clean handwritten items from business forms. Handwritten data usually touch or cross preprinted form frames and texts. Having assumed that the item-of-interest can be located roughly by existing form registration methods, we focus only on the extraction and cleaning of the filled-in items. The proposed system includes training and cleani...

There are many industrial products that use digital video image processing for orientation control or object detection. Often object shape is used for classification. However, if detection task has to be performed very fast and there are many different candidate shapes for an object, other characteristic features have to be used. One of the most relevant object features can be colour. For examp...

In this paper a novel approach for detecting the defects in weld radiographs is presented by using combinatorial morphological and statistical operations. The proposed method consists of several stages. The procedure first involves the application of wiener for noise removal and enhancing the original image. Then, the morphological opening operation is applied to find the fine interior segments...

Vehicle detection and tracking place a vital role in traffic surveillance system (TSS). In the past, many methods had been introduced and implemented still a challenging issue because of dynamic textures such as rain fall, snow and absence of light. Therefore to overcome these problems introduce a novel tracking algorithm based on background subtraction and morphological operations. Firstly the...

The notion of curvature of planar curves has emerged as one of the most powerful for the representation and interpretation of objects in an image. Although curvature extraction from a digitized object contour would seem to be a rather simple task, few methods exist that are at the same time easy to implement, fast, and reliable in the presence of noise. In this paper we first briefly present a ...

This paper presents a new approach to image segmentation using genetic algorithm (GA) in conjunction with morphological operations. The proposed method consists to classify each pixel of the image in pixels belonging either to the object or to the background. It starts by a configuration of individuals randomly generated, representing possible segmentation of the image. The solutions are evalua...

This paper provides a Distributed Morphology analysis of the paradoxical interaction of the two cases of verbal suppletion in Korean, and argues that the two suppletion types are characterized by two different types of morphological operations. The two roots found with short-form negation and honorification suggest different morphological structures : [[Neg-V] Hon] for al‘know’, molu‘not.know’,...

In this thesis work the text found on the vehicle plates is detected from the input image and this requires the localization of number plate area in order to identify the characters present on it. In this thesis work, simple colour conversion edge detection and removal of noise with the application of median filter as one of the operators is attempted. This thesis work presents an approach usin...