Unwanted bottle blurring algorithm on images

In this work, while using C++ programming language with OpenCV library "Unwanted Bottle Blurring Algorithm On Images" thesis practiced. Objective of the thesis is to determine the bottle which we want to cencor on the image and cencor it. Within thesis, an alcohol bottle used as test subject. Coding done with Microsoft Visual Studio 2010 compiler. OpenCV libraries are integrated to the project. As for modeling, the object photographed in negative and positive copies. With using Haar training, determined bottles xml file has created. Created xml file added to project with calling from designated folder and then used with help of the Cascade classifier practice. On Unwanted Bottle Blurring Algorithm On Images application, the images are chosen from interface. For the chosen image, hitting on the cencor button matches the object from the xml file and the process finishes. Then the cencored version of the image shows on screen. Also a histogram equalization process can be done from interface. Same process has been done multiple times with different images and resulted same. Different tests and experiments about the thesis are finished and reached an error free version. As for conclusion, "Unwanted Bottle Blurring Algorithm On Images" revealed.