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Automatic image segmentation and shape extraction is one of the most challenging problems in computer vision. This paper presents a novel algorithm to partition an image with low depth-of-field (DOF) into focused object-of-interest (OOI) and extracts the structural shape components using a generalized discrete morphological skeleton transform. The proposed segmentation algorithm unfolds into three...
A method of transforming a system to an output canonical form is presented in the letter. The procedure given is applicable to both observable and unobservable systems. When the system is not observable, the canonical form displays separately the observable and unobservable subsystems.
Transformation of linear single-input single-output systems represented by state-variable equations to five canonical forms frequently used in modern control literature is presented in the letter. The necessary and sufficient conditions for a non-singular transformation to exist are brought out in each case.
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