图像分割外文翻译---一种在线图像编码识别系统的设计(编辑修改稿)

图像分割外文翻译---一种在线图像编码识别系统的设计(编辑修改稿)内容摘要：

regularity is poor, so coded image preprocessing and recognition algorithms of selection is very important. 2 Image Acquisition and Storage Line coding monly used digital camera images, digital cameras, digital video cameras capture and processed in puter, the system uses QuickCamPro4000 tire coding digital camera image capture, directly from JPG format. Coded images generally must first convert BMP image format, because the BMP format has bee the de facto standard PC in the field almost all of the Windows operating system designed for image processing software to support this format of the image. BMP is the original Windows bitmap format, which can be used to save any type of digital map data, can support all Windows supported screen resolution and color bination. Under normal circumstances, in order to ensure the display of high efficiency, it does not have any pressed image data, so a small bitmap may occupy considerable space. BMP bitmap file includes the bitmap file header, bitmap information header, palette, bitmap data area of four parts, bitmap file header from 14 bytes constitute the bitmap header from 40 bytes position, tone color palette depends on the number of monochrome color images. Board accounted for 8 bytes, 16color palette images accounted for 64 bytes, 256color palette image 1024 bytes total, 224color images without color palette, the bitmap data from the region under the order of the data by row and on the arrangement from left to right. 3 Preprocessing Image preprocessing includes are: gray image, image noise reduction and enhancement, coding, edge detection, image geometry correction, image coding region of extraction, encoding image binarization, character segmentation, character normalization and so on. Here are some key aspects of the process. gray image processing Images are usually color coded, the actual identification with the image is grayscale, where the need to convert first colorcoded images to grayscale. In the RGB color model, if R = G = B, then color (R, G, B) indicates a Black white color, in which R = G = B is called the value of gray value, gray level processing is to make the color of the R , G, B ponent value equal to the process. Grayscale processing methods are monly used weighted average method, that is, R = G = B = (WRR + WGG + WBB) / 3 Which, WR, WG, WB are the R, G, B the weight of experimental and theoretical proof, when WR = , WG = , WB = , that is when R = G = B = + G + B, can be the most reasonable grayscale. image enhancement processing Direct grayscale transformation ① linear gray level transformation: if the image gray scale is linear, as in the original image f (x, y) grayscale range of [a, b], asked the transformed image intensity range of up to [c, d], According to the linear law, the transformed image g (x, y) as: cyxfab cdyxg  ),(),( (1) ② nonlinear transformation log transformation and exponential transformation:When the need to expand low gray zone, gray zone of high pression used on the log transformation, when the need to expand the use of high gray area index tran。