In association with leading Research Organization, Pentagram Research Centre, BMCE launched a Computer Vision Research Laboratory in order to help the faculty and students to do research and publish papers in the field of Signal and Image Processing. Video Image Processing, 3D Image Processing and Knowledge Based Image Processing are the core areas of Research. We are using Logical Image Processing System version 3.0 is a collection of a number of image processing tools developed using Visual C++ and it works in Windows environment. The algorithms pertaining to most of the routines in this package have been developed in a novel logico-mathematical framework called Cellular Logic Array Processing (CLAP). This nontraditional paradigm advocates pattern-directed Search And Replace (SAR) techniques, and so, it guarantees speed and precision
LIPS has three modules: (i) Image Processing, (ii) Pattern Recognition and Analysis and (iii) Pattern Generation. A digital image is treated here as a square array configuration of a cellular automaton and the operation on it as a cellular automaton parallel updating rule. Most of the algorithms used in this package have been developed based on this idea only. The term Pattern Recognition refers here to the detection of local features like straight lines, curves, break points, angles, textures in an image. The main tool used in developing the pattern recognition algorithms is Rajan Transform which is a fast algorithm similar to Decimation-In-Frequency FFT algorithm. Pattern generation is carried out using complex mathematical formulas.