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3.1 ʵÑéÔ­Àí 3.1.1 ÔëÉùÄ£ÐÍ

£¨1£©¹¤¾ßÏäʹÓÃimnoiseº¯ÊýÀ´ÎÛȾһ¸±Í¼Ïñ£¬²î²»¶àÓ﷨Ϊ; g = imnoise (f, type, parameters)

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g = imnoise (f, ¡®gaussian¡¯, m, var)½«¾ùֵΪm£¬·½²îΪvarµÄ¸ß˹ÔëÉù¼Óµ½Í¼ÏñfÉÏ¡£Ä¬ÈÏֵΪ0,¡¢·½²îΪ0.01µÄÔëÉù¡£

g = imnoise (f, ¡®localvar¡¯, V)½«¾ùֵΪ0¡¢¾Ö²¿·½²îΪVµÄ¸ß˹ÔëÉùÌí¼Óµ½Í¼ÏñfÉÏ£¬ÆäÖÐVÊÇÓëf´óСÏàͬµÄÒ»¸öÊý×飬Ëü°üº¬Ã¿¸öµãµÄÀíÏë·½²îÖµ¡£

g = imnoise (f, ¡®locatlvar, image_intensity, var¡¯)½«¾ùֵΪ0µÄ¸ß˹ÔëÉùÌí¼Óµ½Í¼ÏñfÉÏ£¬ÆäÖÐÔëÉùµÄ¾Ö²¿·½²îvarÊÇͼÏñfµÄÁÁ¶ÈÖµµÄº¯Êý¡£²ÎÁ¿image_intensity±ØÐë°üº¬ÔÚ·¶³ë[0,1]ÄڵĹéÒ»»¯ÁÁ¶ÈÖµ£¬ËüÓëvarÊÇ´óСÏàͬµÄÏòÁ¿¡£±¾º¯Êý»æÖƳöÔëÉù·½²îºÍͼÏñÁÁ¶ÈµÄº¯Êý¹ØÏµ¡£

g = imnoise (f, ¡®salt & pepper¡¯, d)Óý·ÑÎÔëÉùÎÛȾͼÏñf£¬ÆäÖÐdÊÇÔëÉùÃܶȣ¨¼´°üº¬ÔëÉùÖµµÄͼÏñÇøÓòµÄ°Ù·Ö±È£©¡£Òò´Ë£¬´óÔ¼ÓÐd*numel(f)¸öÏñËØÊܵ½×è°­£¬Ä¬ÈÏÔëÉùÃܶÈΪ0.05¡£

g = imnoise (f, ¡®speckle¡¯, var)Ó÷½³Ìg=f+n*f½«³Ë·¨ÐÔÖÊÔëÉùÌí¼Óµ½Í¼ÏñfÉÏ£¬ÆäÖÐnÊǾùֵΪ0¡¢·½²îΪvarµÄƽ¾ù·Ö²¼µÄËæ»úÔëÉù¡£varĬÈÏΪ0.04¡£

g = imnoise (f, ¡®poission¡¯)´ÓÊý¾ÝÖÐÉú³É²´ËÉÔëÉù£¬¶ø²»Êǽ«È˹¤µÄÔëÉùÌí¼Óµ½Êý¾ÝÖС£ÎªÁË×ñÊØ²´ËÉͳ¼Æ£¬unit8ÀàºÍuint16ÀàͼÏñµÄÁÁ¶È±ØÐëºÍ¹â×Ó£¨»òÆäËûÈκεÄÁ¿×ÓÐÅÏ¢£©µÄÊýÁ¿Ïà·ûºÏ¡£µ±Ã¿¸öÏñËØµÄ¹â×ÓÊýÁ¿´óÓÚ65535£¨µ«±ØÐëСÓÚ1012£©Ê±£¬¾ÍҪʹÓÃË«¾«¶ÈͼÏñ¡£ÁÁ¶ÈÖµÔÚ0ºÍ1Ö®¼ä±ä»¯£¬Í¬Ê±¶ÔÓ¦ÓÚ¹â×ÓµÄÊýÁ¿³ýÒÔ1012¡£

£¨2£©Ê¹ÓÃÖ¸¶¨µÄ·Ö²¼²úÉú¿Õ¼äËæ»úÔëÉù¡£¿Õ¼äÔëÉùÖµÊÇËæ»úÊý£¬ÒÔ¸ÅÂÊÃܶȺ¯Êý£¨PDF£©»òÏàÓ¦µÄÀÛ»ý·Ö²¼º¯Êý£¨CDF£©±íÕ÷¡£ÀûÓÃÒÑÓÐMÎļþ¡°imnoise2.m¡±¡£

£¨3£©ÖÜÆÚÔëÉù£¬Ò»Ñù²úÉúÓÚͼÏñ²É¼¯¹ý³ÌÖÐµÄµçÆøºÍ/»òµç»ú¸ÉÈÅ¡£ÀûÓÃÒÑÓÐMÎļþ¡°imnoise3.m¡±Íê³ÉʵÑé¡£

£¨4£©¹ÀÁ¿ÔëÉù²ÎÊý¡£º¯ÊýstatmomentsÔËËã¾ùÖµºÍn½×ÖÐÐľأ¬²¢·µ»ØÏòÁ¿v¡£ÓÉÓÚ0½×¾ØÕó×ÜΪ1,1½×¾Ø×ÜΪ0£¬Òò´ËstatmomentsºöÂÔÕâÁ½¸ö¾Ø£¬Óï·¨ÐÎʽÈçÏ£º

[v, unv] = statmoments (p, n)

ÆäÖУ¬pΪֱ·½Í¼ÏòÁ¿£¬nÊÇÔËËãµÄ¾ØµÄÊýÁ¿¡£

ÔëÉù²ÎÊýͨ³£Ö±½ØÁ˵±ÓÉ´øÔëÉùµÄͼÏñ»òÒ»×é´øÔëÉùµÄͼÏñÀ´¹ÀÁ¿¡£ ÔÚMATLABÖУ¬Ê¹Óú¯ÊýroipolyÀ´Ñ¡ÔñÒ»¸ö¸Ð°®ºÃÇøÓò£¨ROI£©£¬Ó﷨Ϊ£º

B = roipoly £¨f, c, r£©

ÆäÖУ¬fÊÇÎÒÃǸа®ºÃµÄͼÏñ£¬cºÍrÊǶà±ßÐζ¥µãµÄÏàÓ¦ÁÐ×ø±êºÍÐÐ×ø±ê£¬Êä³öµÄBÊÇÒ»¸ö¶þֵͼÏñ£¬ËüÊÇÒ»¸öÓëf´óСÏàͬÇÒÔڸа®ºÃÇøÓòÍâΪ0¡¢Ôڸа®ºÃÈ¥Ò°ÍâΪ1µÄ¶þֵͼÏñ£¬ËüÊÇÒ»¸öÓÃÀ´ÏÞÖÆÔڸа®ºÃÇøÓòÄÚµÄÑÚÄ£¡£

½»»¥Ê½Ö¸¶¨Ò»¸ö¶à±ßÐεÄROI£¬Äܹ»Ê¹ÓÃÏÂÃæµÄÓï·¨£º B = roipoly(f)

¸Ãº¯Êý¹¦ÄÜÊǰÑͼÏñfÏÔʾµ½ÆÁÄ»ÉÏ£¬ÈÃÓû§Ê¹ÓÃÊó±êÀ´Ö¸¶¨¶à±ßÐΡ£ ²Î¼û¡°histroi.m¡°Îļþ¡£ 3.1.2 ÔëÉùµÄ¸´Ô­£º¿Õ¼äÂ˲¨

£¨1£©¿Õ¼äÔëÉùÂ˲¨Æ÷¡£Ê¹Óá°spfilt.m¡°Îļþ¡£

º¯ÊýimlincombµÄÓÃ;ÊÇÔËËãÊäÈëµÄÏßÐÔ×éºÏ£¬Ó﷨Ϊ£º B = imlincomb (c1, A1, c2, A2,¡­¡­, ck, Ak) ËüʵÏÖµÈʽ£º

B = c1* A1 + c2* A2,¡­¡­, + ck* Ak

ÆäÖУ¬cÊÇdoubleÀàʵ±êÁ¿£¬AÊÇÓÐ×ÅÏàͬÀàºÍ´óСµÄÊý×é¡£

£¨2£©×ÔÊÊÓ¦¿Õ¼äÂ˲¨Æ÷¡£Äܹ»ÀûÓÃadpmedianµÄMº¯ÊýÀ´ÊµÏÖ£¬Ó﷨Ϊ£º

f = adpmedian (g, Smax)

ÆäÖУ¬gÊǽ«±»Â˲¨µÄͼÏñ£¬SmaxÊdzÐŵµÄ×î´ó×ÔÊÊÓ¦Â˲¨Æ÷´°¿ÚµÄ´óС¡£

3.1.3 ÍË»¯º¯Êý½¨Ä£

£¨1£©ÍË»¯º¯Êý½¨Ä£¡£Í¼ÏñÄ£ºýÊǵ¼ÖÂͼÏñÍË»¯µÄÖØÒªÔµ¹Ê£¬Äܹ»ÔÚͼÏñÁÔȡʱ´«¸ÐÆ÷ºÍ³¡¾°Ö®¼äµÄƽ¾ùÏßÐÔÔ˶¯¶ø²úÉúµÄͼÏñÄ£ºý¡£Äܹ»ÀûÓÃfspecial¶ÔͼÏñÄ£ºý½¨Ä££º

PSF = fspecial (¡®motion¡¯, len, theta)

µ÷ÓÃfspecial ½«·µ»ØPSF£¬Ëü½üËÆÓÚÓÐ×Ålen¸öÏñËØµÄÉãÏñ»úµÄÏßÐÔÒÆ¶¯³ÉЧ£¬²ÎÊýthetaÒÔ¶ÈΪµ¥Î»£¬ÒÔ˳ʱÕë·½ÏòÕý¶ÔˮƽÖá¶ÈÁ¿¡£lenĬÈÏÖµÊÇ9£¬thetaĬÈÏÖµÊÇ0¡£

º¯ÊýcheckerboardÓÃÓÚ²úÉú²âÊÔͼÏñ£¬Ó﷨Ϊ£º C = checkerboard (NP, M, N)

ÆäÖУ¬NPÊÇÿ¸öÕý·½ÐÎÒ»±ßµÄÏñËØÊý£¬MÊÇÐÐÊý£¬NÊÇÁÐÊý£¬ÈôMºÍN¶¼Ê¡ÂÔ£¬½«²úÉúÒ»¸öÒ»ÃæÎª8¸öÕý·½ÐεÄÕý·½ÐβâÊÔ°å¡£

Mº¯Êýpiexldup ͨ¹ýÏñËØÀ´·Å´óͼÏñ£¬Ó﷨Ϊ£º B = piexldup (A, m, n)

¸Ãº¯Êý½«AÉϵÄÿ¸öÏñËØÔÚ´¹Ö±·½ÏòÉÏ×ܹ²¸´ÖÆn´Î¡£ 3.1.4 άÄÉÂ˲¨

£¨1£©Î¬ÄÉÂ˲¨Ê¹ÓÃdeconvwnrº¯ÊýÀ´ÊµÏÖ£¬ÓÐÈýÖÖÓï·¨ÐÎʽ£º fr = deconvwnr (g, PSF)

fr = deconvwnr (g, PSF, NSPR)

fr = deconvwnr (g, PSF,NACORR, FACORR)

ÆäÖУ¬g´ú±íÍË»¯Í¼Ïñ£¬frÊǸ´Ô­Í¼Ïñ£¬PSFÊÇÔëÐűȣ¨»òÊǸö³£Á¿»òÊǸöÊý×飩£¬NSPRÄܹ»ÊÇÒ»¸ö½»»¥µÄ±êÁ¿ÊäÈ룬NACORRºÍFACORRÊÇÔëÉùºÍδÍË»¯Í¼ÏñµÄ×ÔÓйغ¯Êý¡£

3.1.5 Ô¼Êø×îС³Ë·½£¨ÕýÔò£©Â˲¨

£¨1£©Ô¼Êø×îС³Ë·½£¨ÕýÔò£©Â˲¨Ê¹Óú¯ÊýdeconvergÀ´ÊµÏÖ£¬Ó﷨Ϊ£º fr = deconverg (g, PSF, NOISEPOWER, RANGE)

ÆäÖУ¬gÊDZ»ÎÛȾµÄͼÏñ£¬frÊǸ´Ô­Í¼Ïñ£¬NOISEPOWERÓë ³É±ÈÀý£¬RANGEΪֵµÄ·¶³ë¡£

3.1.5 ʹÓÃLucy-Richardson¸´Ô­µÄµü´ú·ÇÏßÐÔ¸´Ô­

£¨1£©Lucy-Richardson¸´Ô­µÄµü´ú·ÇÏßÐÔ¸´Ô­ÀûÓÃdeconvlucyº¯ÊýÀ´ÊµÏÖ£¬Ó﷨Ϊ£º

fr = deconvlucy (g, PSF, NUMIT, DAMPAR, WEIGHT)

ÆäÖУ¬gÊÇÍË»¯µÄͼÏñ£¬frÊǸ´Ô­Í¼Ïñ£¬,PSFÊǵãÀ©É¢º¯Êý£¬NUMITΪµü´úµÄ´ÎÊý£¨Ä¬ÈÏ10´Î£©¡£

DAMPARÊÇÒ»¸ö±êÁ¿£¬ËüÖ¸¶¨Á˽á¹ûͼÏñÓëԭͼÏñgÖ®¼äµÄÆ«ÀëãÐÖµ£¬µ±ÏñËØÖµÆ«ÀëÔ­ÖµµÄ·¶³ë²¢ÔÚDAMPARÖ®ÄÚʱ£¬¾Í²»Óõü´ú¡£Èç´ËÄܹ»ÒÖÖÆÕâЩÏñËØµÄÔëÉù£¬Óд¢´æÁ˱ØÒªµÄͼÏñϸ½Ú£¬Ä¬ÈÏֵΪ0£¨ÎÞË¥¼õ£©¡£

WEIGHTÊÇÒ»¸öÓëgÏàͬ´óСµÄÊý×飬ËüΪÿһ¸öÏñËØ·ÖÅäÒ»¸öÈ¨ÖØÀ´·´Ó³ÆäÖØÁ¿¡£ÀýÈç´Óij¸öÓÐȱÏݵijÉÏñÊý×é µÃ³öÒ»¸ö²»Á¼ÏñËØ£¬×îÖջᱻ¸³ÒÔÈ¨ÖØÖµÁ㣬´Ó¶øÅųý¸ÃÏñËØÈ¥Çó½â¡£

3.1.5 äȥ¾í»ý

£¨1£©Ã¤È¥¾í»ýͨ¹ýº¯ÊýdeconvblindÀ´ÊµÏÖ£¬ÆäÓ﷨Ϊ£º [f, PSFe] = deconvblind (g, INITPSF)

ÆäÖУ¬gÊÇÍË»¯µÄͼÏñ£¬INITPSFÊǵãÀ©É¢º¯ÊýµÄ³õ²½¹ÀÁ¿£¬PSFeÊÇÄǸöº¯Êý×îÖÕÔËËãµÃµ½µÄ¹ÀÁ¿Öµ£¬frÊÇÓùÀÁ¿µÄPSF¸´Ô­µÄͼÏñ¡£µü´úĬÈÏ10´Î¡£

3.1.6 ¼¸ºÎ±ä»»ÓëͼÏñÅä×¼

£¨1£©¿Õ¼ä¼¸ºÎ±ä»»¡£IPTÀûÓÃÒ»¸öËùνµÄtform½á¹¹À´±íʾ¿Õ¼ä±ä»»£¬Í¨¹ýº¯ÊýmaketformÀ´ÊµÏÖ£¬Ó﷨Ϊ£º

tform = maketform (transform_type, transform_parameters)

transform_typeÊÇÏÂÁÐ×Ö·û´®Ö®Ò»£º¡®affine¡¯, ¡®projective¡¯, ¡®box¡¯, ¡®composite¡¯»ò¡®custom¡¯¡£

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