The run-length coding and the morphological representation are two classical schemes for wavelet image coding. The run-length coders have the advantage of simplicity by recording the lengths of zero-runs between significant wavelet coefficients but at the expense of yielding an inferior rate-distortion performance. The morphology-based coders, on the other hand, utilize the morphological dilati...

One of the tasks language documenters face is that of assigning glosses to function morphemes, including affixes. These glosses are typically used in marking up interlinear text at a morpheme level. But without a morphological parser, marking up interlinear text is tedious and error-prone. Ideally, a parser will be guided not only by the form and syntagmatic properties of morphemes, but also by...

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...

The operative mortality for atrio-ventricular septal defect (AVSD) has fallen dramatically over the last 15 years as the preferred age of surgery has fallen. For the survivor, the long-term function of the left atrio ventricular valve (LAVV) is crucial in determining quality of life and to avoid re-operation. It is now well established that the zone of apposition (‘cleft’) between the superior ...

Automatic word segmentation is a basic requirement for unsupervised learning in morphological analysis. In this paper, we formulate a novel recursive method for minimum description length (MDL) word segmentation, whose basic operation is resegmenting the corpus on a prefix (equivalently, a suffix). We derive a local expression for the change in description length under resegmentation, i.e., one...

The proposed system introduces a novel approach for extracting text effectively from different types of complex video inputs. The valuable information within the text can be deployed for text indexing and localization. The proposed system uses contour based protocol like SUSAN algorithm for evaluating the contour detection. The system then explores candidate text area and refines the edges by F...

High intensity canopy height LIDAR data affords model-based estimation of tree locations. The analysis of spatial point patterns is a natural extension of this modeling capability. Identification of within-stand clusters (features) of trees deviating significantly in height from those of surrounding trees (clutter) is important for inventory and forest management purposes. We demonstrate a nonp...

Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (MM) has recently led to the development of new fuzzy morphological associative memories (FMAMs), in particular implicative fuzzy associative memories (IFAMs). As the name FMAM indicates, these models belong to the class...

The computer screen processing based machine learning algorithms is envisaged for future knowledge management applications. The front end based information retrieval is quite similar to human method of information access from computer. The proposed architecture is highly computational intensive and mostly performs image processing algorithms for extracting the information from the screen image....

This paper includes face detection and recognition with the help of morphological shared weight neural network. Face detection is achieved with the combination of morphological hit miss operation and edge detection. Feature extraction of face image is done using Principal Component Analysis. These features are used to train the neural network. The output of neural network is compared with datab...