Image recognition method using intensity gradient vectors
M. Hiramoto, Takahiro Ogawa, Miki Haseyama · Systems and Computers in Japan · 2007
Abstract This paper proposes a method for general image recognition based on the progress of increasing the pixels of image sensors and improving image quality. This method can also adapt to images which have undergone geometric transformations such as the rotation and movement of images. The proposed method uses a voting system that utilizes vectors. This method uses vectors which represent intensity gradients and vectors which show position to express images and also defines voting vectors and similarity for the recognition. In addition, the proposed method has characteristics of concentrating voting locations at an origin point if there are identical images such that the voting results do not influence geometric transformations. When we performed experiments on natural images including original images which may have undergone image processing such as Gaussian or median filtering and JPEG compression, we understood that distinct differences appeared in the similarities and that recognition was possible even if an artificial process was added to the images. Even further, when we examined recognition of images using the greatest number of voting points as an application of this method, we were able to show that the recognition capability was high and that a partial image contained in one image could also be recognized. © 2007 Wiley Periodicals, Inc. Syst Comp Jpn, 38(13): 15–27, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.20792