Wizyjny algorytm wyznaczania obszarów zainteresowania zrealizowany w oparciu o zredukowaną ilość przechowywanej informacji

The paper presents a method based on machine vision techniques for determining the region of interest ( ROI ) for digital images or video sequences. The algorithm is based on the simple data structure incoming from the image obtained using the Monte Carlo method. The image is divided into blocks. The simplified structure is prepared for each one. This structure of an image can be used to calculate parameters describing the image such as a histogram. By analyzing the records of each video frame stored in such a structure can be determined, for example areas with some changes. By shaping the criteria by which we choose the ROI we use this algorithm: to track moving objects (cars, etc.) without their identification, designation of regions for digital filtering of the original image, for searching a potential place in the image where is a license plate of the car. The proposed algorithm can work with video sequences or single images. It is an algorithm with low computational cost and permitting to operation in real time. This algorithm is useful for parallel computation.