Abstract

 Abstract—Template matching method is widely used in pattern recognition such as face recognition, a part of cases in image processing field. However, although this method is widely used in image processing field, it is usually applied to digital images that have enough resolution. This paper will discuss about using template matching to noisy digital images produced by low-resolution ultrasonography device, especially for localizing uterus region. Template matching is conceptually a simple process. We need to match a template to an image, where the template is a sub image that contains the shape we are trying to find. Accordingly, we centre the template on an image point and count up how many points in the template matched in the image. The procedure is repeated for the entire image, and the point that lead to the best match, the maximum count, is deemed to be the point where the shape (given by the template) lies within the image. The template is first positioned at the origin and then matches with the image to give account which reflects show well the template matched that part of the image at that position. The count of matching pixels is increased by one for each point where the brightness of the template matches the brightness of the image. This is similar to the process of template convolution. The template and the sum are of the number of matching points as opposed to the weighted sum of image data. The best match is when the template is placed at the position where the rectangle is matched to itself. This process can be generalized to find, for example, templates of different size or orientation. In these cases, we have to try all the templates (at expected rotation and size) to determine the best match (1). Based on above explanation, it seems that this method is quite simple to apply in an image-processing field. Unfortunately, almost all researches applying this method to the digital image with good resolution. Xiaoyan Mu (2)

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