Moving Crack detection based on Improved VIBE and Multiple Filtering in Image Processing Techniques

Background subtraction is important process in many automatic video content analysis applications. extracting foreground moving objects from video sequences is a crucial step and also a hot topic in computer vision and image processing . This paper presents a new approach in image processing for detection crack in video. This method involves two main steps: First, we use based on Visual Background Extractor (Vibe) to detection moving crack in video. Second steps: Using a suitable threshold in a binary image and classifies all pixels two groups’ background and foreground. And use filter area and changes the area if less than the specific number to back; and using filtering to elimination of residual noise. This paper describes a method for detection crack in video we use Image Processing Techniques. The advantage of this method is clearly and accurate detection of cracks in video. Experimental work shows that our method is improved relatively to the other widely used techniques.