Adaptive Local Image Contrast in Image Binarization [ READ ]
Prof.Sushilkumar N Holambe, Dr.Ulhas B Shinde, Bhagyashree S Choudhari.
Image binarization is the process of separation of image pixel values as background and as a foreground. We set white pixels as background and black pixels as a foreground. It firstly convert the degraded document image into gray scale document image and then in to binary document image. To perform such a segmentation of document image into background and as a foreground Most of the binarization techniques consider the intensity values associated with pixels. To distinguish these intensity values we will consider one intensity value called threshold. Each and every pixel of the gray scale images compared with the threshold value and according to that pixels are separated as background pixel and foreground pixel. Thus selection of threshold value is important for the separation
Prof.Sushilkumar N Holambe, Dr.Ulhas B Shinde, Bhagyashree S Choudhari.
Image binarization is the process of separation of image pixel values as background and as a foreground. We set white pixels as background and black pixels as a foreground. It firstly convert the degraded document image into gray scale document image and then in to binary document image. To perform such a segmentation of document image into background and as a foreground Most of the binarization techniques consider the intensity values associated with pixels. To distinguish these intensity values we will consider one intensity value called threshold. Each and every pixel of the gray scale images compared with the threshold value and according to that pixels are separated as background pixel and foreground pixel. Thus selection of threshold value is important for the separation
