【正文】 師經(jīng)常利用休息時(shí)間為我們解答不懂的問題，耐心的為我們講解，在此，我表示由衷的感謝。同時(shí)感謝在我學(xué)習(xí)中給予我?guī)椭母魑焕蠋熃o我的幫助和建議，也感謝在本次設(shè)計(jì)中給予我很多幫助的我的幾位同學(xué)。感謝沈陽理工大學(xué)以及理學(xué)院為我們提供了這次畢業(yè)設(shè)計(jì)的機(jī)會(huì)。給了我們一次獨(dú)立從事工程設(shè)計(jì)和科學(xué)研究的初步嘗試的機(jī)會(huì)，對(duì)提高我個(gè)人的能力有重要的意義，為我將來的工作和研究打下了良好的基礎(chǔ)。并且感謝學(xué)校為我們提供良好的環(huán)境，包括圖書館的各種資源、文獻(xiàn)，學(xué)院的機(jī)房等。感謝百度及谷歌搜索引擎及互聯(lián)網(wǎng)中的免費(fèi)信息資源網(wǎng)站，很多理論知識(shí)可以在網(wǎng)絡(luò)中學(xué)習(xí)到，為我本次的論文帶來了極大地便利和幫助。最后，對(duì)各位專家、老師審閱我的論文深表感謝，由于本人水平有限，程序中難免有錯(cuò)誤存在，希望各位老師給予批評(píng)指正。參考文獻(xiàn)[1] C++,2006[2] c++ ,2003[3] 劉榴娣,劉明奇,1998[4] 鐘志光,盧君, C++.NET ,2003[5] 高守傳, C++實(shí)踐與提高—,2006[6] C++,2004[7] ［M］.杭州：浙江大學(xué)出版社,1990 [8] C++實(shí)踐與提高—,2001[9] 何斌,馬天予, C++,2001[10] ，2003[11] ，1995 [12] 萬發(fā)貫，柳健，1991[13] 張遠(yuǎn)鵬，董海，1996[14] 夏德深，1997 [15] 陳廷標(biāo)等編著．?dāng)?shù)字圖像處理．北京：人民郵電出版社，1990 [16] 龔聲蓉，劉純平， 2007附錄A：英文原文Images and Digital ProcessingINTRODUCTIONDigital image processingthe manipulation of images by puteris a relatively recent development in terms of humans39。 ancient fascination with visual stimuli. In itsshort history, it has been applied to practically every type of imagery, with varying degrees of success .The inherent subjective appeal of pictorial displays attracts perhaps a disproportionate amount of attention from scientist and lay person alikeLike other multidisciplinary fields, digital image processing suffers from myths, misunderstandings, misconceptions, and misinformation. It is abroad umbrella under which fall diverse aspects of optics, electronics, mathematics, photography, and puter technology. It is plagued with imprecise and often contradictory jargon taken from many different fields.Several factors indicate continued growth for the field. A major one is the perpetually declining cost of the puter equipment required. Both processing units and bulk storage devices continue to bee less expensive year by year. A second factor isthe increasing availability of equipment for digitizing and displaying images. There are indications that the cost of puter equipment will continue to decline.Several new technological trends promise to further stimulate the growth of the field. Among these are parallel processing, made practical by lowcost microprocessors。 inexpensive chargecoupled devices (CCDs) for digitizing。 new memory technologies for large, lowcost image storage arrays。 and inexpensive, highresolution color display systems.Another impetus for development stems from a steady flow of new applications. The usage ofdigital imaging in mercial, industrial, and medical applications and in scientific research continues to grow. Even with the scaling down of military expenditures es increased used of remote sensing with digital imaging techniques. Thus,with increasing availability of reasonably inexpensive hardware and some very important applications on the horizon, one can expect digital image processing to play an important role in the future.THE ELEMENTS OF DIGITAL IMAGE PROCESSINGAt its most basic level, digital image processing requires a puter upon which to process image and two pieces of special input/output equipment。 an image digitizer and an image display device.In their naturally occurring form, images are not directly amenable to puter analysis. Since puter work with numerical(rather than pictorial) data, an image must be converted to numerical form before processing by puter can mence.Figure 11 illustrates how a rectangular array of numbers can represent a physical image. The physical image is divided into small regions called picture elements, or pixels. The most mon subdivision scheme is the rectangular sampling grid shown inthe figure. The image is divided into horizontal lines of adjacent pixels. The number inserted into the digital image ateach pixel location reflects the brightness of the image at the corresponding point. The conversion process is called digitization, and a mon form is illustrated inFigure each pixel location, the brightness of the image is sampled and quantized. This step generates, for each pixel, an integer representing the brightness or darkness of the by a rectangularrray of integers. Each pixel has an integer location( or address) line or row number and sample or column number and an integer value called the gray level . This array of digital data is now a candidate for puter processing.Figure13 shows a plete system for image processing. The digital image produced by the digitizer goes into the temporary storage on a suitable device. In response to instructions fromthe operator, the puter calls up and executes imageprocessingprograms from a library. During execution, the input image is read into puter line by line. Operating upon one or several lines, the puter generates the output image, pixel by pixel, and stores it on the output data storage device, line by line.During the processing ,the pixels may be modified at the programmer’s discretion.The processing steps are limited only by the programmer’s imagination and patience, and the puting budget. After processing, the final product is displayed by a process that is the reverse of digitization: The gray level of each pixel is used to determinethe brightness of the corresponding point on a display screen. The processed image ismade visible, and once again amenable to human interpretation .The Terminology of Digital Image ProcessingImages occur in various forms, some visible and others not, some abstract and others physical, some suitable for puter analysis and others not. It is thus important to have an awareness of the different types of images. A lack of this awareness can lead to considerable confusion ,particularly when people are municating ideas about images when they have different concepts of what an image is.Before we can define digital image processing ,we must agree upon a definition for the word image. While most the definitions of the word in several of Webster’s dictionaries[46] are the following: “A representation ,likeness ,or imitation of an object or t