This thesis presents an image segmentation procedure that uses genetic algorithm and mathematical morphology for optimizing a criterion function. The image is divided into subimages and segmentation algorithm is applied to each subimage, starting with initial random populations. Each individual of the population is evaluated using an a fitness function. The best-fit individuals are selected and...

Barcode Localization is an extremely important task in Barcode Reading system which depends highly on imaging conditions and methods used for barcode localization. In this paper, we have presented a method for barcode localization which is based on basic morphological operations. The method introduced is implemented in MATLAB 2012 and is then examined for different types of test images such as ...

In this paper, we prepare segmenting the brain portion Magnetic Resonance Image (MRI). In our method, we first find the threshold using Riddler’s method and convert gray image to binary image. The head boundaries are detected by using contour of the head. By subtracting, we detect the scalp and remove it. We perform morphological operation to disconnect the non-brain region. Finally, by applyin...

This paper presents a general algorithm that performs basic mathematical morphology operations, like erosions and openings, with any arbitrary shaped structuring element in an efficient way. It is shown that our algorithm has a lower or equal complexity but better computing time than all comparable known methods.

Spectral mixture analysis provides an efficient mechanism for the interpretation and classification of remotely sensed multidimensional imagery. It aims to identify a set of reference signatures (also known as endmembers) that can be used to model the reflectance spectrum at each pixel of the original image. Thus, the modeling is carried out as a linear combination of a finite number of ground ...

Preface Linear filters have been used as the primary tools in signal and image processing. They exhibit many desirable properties, such as the superposition, which makes them easy to design and implement. Furthermore, they are the best solution in additive Gaussian noise suppression. However, when the noise is not additive or when there exist system non-linearities linear filters are not adequa...

In this paper, a new Fuzzy Morphology (FM) based on the GeneralizedDempster-Shafer Theory (GDST) is proposed. At first, in order to clarify the similarity ofdefinitions between Mathematical Morphology (MM) and Dempster-Shafer Theory (DST),dilation and erosion morphological operations are studied from a different viewpoint. Then,based on this similarity, a FM based on the GDST is proposed. Unlik...

This paper presents a computational investigation of a range of morphological operations. These operations are first represented as morphological maps, or functions that take a stem as input and return an output with the operation applied (e.g., the ing-suffixation map takes the input ‘dôINk’ and returns ‘dôINk+IN’). Given such representations, each operation can be classified in terms of the c...

A mathematical morphology based approach for color image indexing is explored in this paper. Morphological signatures are powerful descriptions of the image content in the framework of mathematical morphology. A morphological signature (either a pattern spectrum or a differential morphological profile) is defined as a series of morphological operations (namely openings and closings) considering...

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