201145182 六、發明說明： 【發明所屬之技術領域】 ，本發明隸屬-種數位影像之光學量測技術，具體而 言係指-種用於量測上眼驗長度方法及其裝置，藉以迅 ，且準確得知各㈣者的上眼驗長度，以便於裁剪適 :長度的假睫毛，提高❹者其安全及方便性，且 其經濟效益。 【先前技術】 德it近年來由於美容資訊的發達，美容產品業如雨 =般逄勃發展，輕巧、簡便的美容產品，已逐漸成 ίϋ女性日常生活中不可或缺的—部份，為了追求如 眼’假睫毛的使用已蔚為-種風潮， 不再疋藝人的專屬用品，而衫美女性的必備品。 然而’美容業者卻只將心力專注於研發不同 :睫j，其所銷售的假睫毛並非專為每一個消費2 二長二費者吏用假睫毛之前’必須裁剪適合自身眼ϊ 剪的過程中都會出現將假睫毛裁剪^戈’_在裁 度會隨著睁眼及閉眼而:變 時會出現靜過長或過_問題裁2剪假睫毛 閉上眼睛時，就會因為假睫毛過長的當我們 感到不舒服;相對地，若裁剪過短 ：二處而 睛時，因為假睫毛無枝全㈣心=在我_開眼 毛脫落。 ’、、；眼瞼而導致假睫 201145182 : = = 前裁剪的時間， 眼睛偵測與上眼瞭長度的測量能”一套即時 利，亦是美料發展的—大進步、f ’不僅是❹者的福 有鑑於此，本發明人 關問題深人探討，並藉由多現有使用假睫毛相 造經驗，㈣極尋求料 事4目_產業㈣發與製 作，終於成功的開發出眼以=力:研究與試 【發明内容】 確㈣假睫毛所造成的缺失。 法，=能在提供眼臉長度量測方 假睫毛正確=^據_者的上眼瞼長度，進而提供 裝置又其提供眼瞼長度量挪 =剪出正確長度的假睫毛：=::: 康匕本發明主要係透過下列的技術手段， 擷取、一孤加a……$ os-另一影像 來具體 ::刖f之目的與功效；該量測方法主要包含有一 距等步驟臉-眼咖定位及-上眼瞼測 寻乂驟其1測流程係： 取裝操取之步驟’其係利用數位影像操 的數位影二片臉部’並棟取該消f者臉部及周圍 201145182 _接著進行臉部彳貞測辦識之步驟，開始執行臉部辦 識可用於偵測膚色的區域，將數位影像圖片中的臉部 形狀予以保留，並去除影像中臉糾外的不必要雜訊； 之後，進行眼睛偵測定位之步驟，當完成前述臉部 的偵測辦識後’將數位影像圖片由RGB轉換至hsv空間， 3:得的臉形RGB轉至YIQ空間’接著用_ “義 2=，將训影像轉至二值化影像，並利用人臉 特生找出景>像中的眼睛所在位置； 位德最I進行上㈣測距之步驟，在完成眼睛制定 形掃描找出上眼驗所在位置，透過曲線 網路出上眼瞼的長度’接著使用函數類神經模糊 =，_取上眼驗的長度影像做為 :201145182 VI. Description of the Invention: [Technical Field] The invention belongs to the optical measurement technology of digital image, and specifically refers to a method for measuring the length of an eye examination and a device thereof, by means of And accurately know the length of the upper eye examination of each (four), in order to cut the appropriate length of false eyelashes, improve the safety and convenience of the latter, and its economic benefits. [Prior technology] In recent years, due to the development of beauty information, the beauty products industry has developed like a rainy, light and simple beauty product, which has become an indispensable part of women’s daily life. For example, the use of false eyelashes has become a kind of trend, no longer exclusive to the artist, but a must-have for the beauty of the shirt. However, the 'beauty industry' only focus on the development of different: eyelash j, the false eyelashes it sells are not designed for every one of the two long-term payers. Before using false eyelashes, 'there must be tailoring for the process of cutting your own eyelids. Will appear to cut the false eyelashes ^ Ge '_ in the cut will be with the blink of an eye and close the eyes: when the change will appear too long or too _ problem cut 2 cut false eyelashes close the eyes, it will be because the false eyelashes are too long When we feel uncomfortable; relatively, if the cut is too short: when the two eyes, because the false eyelashes are not full (four) heart = in my _ open eye hair off. ',,; eyelids lead to false eyelashes 201145182 : = = time before cutting, eye detection and measurement of the length of the upper eye can be a set of instant profits, is also the development of beauty - great progress, f 'not only ❹ In view of this, the inventor's problem is deeply discussed, and through the experience of many existing false eyelashes, (4) extremely seeking 4 things _ industry (four) hair and production, finally successfully developed the eye = Force: Research and Trial [Summary of the Invention] Indeed (4) the lack of false eyelashes. Method, = can provide the length of the eye face, the false eyelashes correct = ^ according to the upper eyelid length, and then provide the device and provide eyelids Length of the amount = cut the correct length of false eyelashes: =::: Kang Hao This invention is mainly through the following technical means, capture, a lone a ... $ os - another image to specific:: 刖 f Purpose and efficacy; the measurement method mainly includes a step-by-step face-eye coffee positioning and - upper eyelid measurement and searching step 1 of the measurement process: the step of taking the operation and taking the digital image of the digital image The face of the face is taken from the face of the person and the surrounding area 201145182 _ Perform the steps of face detection, start performing face recognition to detect the area of skin color, preserve the shape of the face in the digital image, and remove unnecessary noise from the face in the image; After that, the steps of eye detection and positioning are performed, and after the detection of the face is completed, 'the digital image is converted from RGB to hsv space, 3: the face shape RGB is transferred to YIQ space' and then _ =, transfer the training image to the binarized image, and use the face to find out the position of the eye in the image; the position of the most I in the upper (four) ranging, find out the eye shape scan The position of the upper eye test, the length of the upper eyelid through the curve network' then use the function-like neuro-fuzzy =, _ take the length of the eye test as:
為真貫的距離。 询只J 景二Ϊ發明進一步可提供一種眼瞼長度量測裴置，哆 =置的特徵在於包含申請專； 元、-檢知卜二有 取臉部的影像摘取單 — 臉。卩形狀之臉部偵測辦識單元、一檢知ΒΡ _ 疋位=眼睛谓測定位單元及—上眼險測距單元眼月 費去Ϊ過本發明前述技料段的具體實現H 費者可利用本發明之方法或 [見讓4 置測出消費者的上眼驗，以提供^身=確的 ==的假睫毛，有效的解決現有假=3= 品的附加價值，Α幅提高其崎^錢^增加產 特 為使貝審查委員能進—步了解本發明的構成、 201145182 ' 徵及其他目的，以下乃舉本發明之較佳實施例，並配合 圖式詳細說明如後，同時讓熟悉該項技術領域者能夠具 體實施。 【實施方式】 本發明係眼瞼長度量财法及其裝置，隨附圖例示 ^本發明的具體實施例及其構件+，所有關於前與後、 f與右、頂部與底部、上部與下部、以及水平與垂 ^ ’僅縣方便進行描述，並非限制本發明，亦非將 ^構件限制於任何位置或空間方向。圖式與說明書 的尺寸，當可在不離開本發明之申請專利範圍内， 根據本發明之具體實施例的設計與需求而進行變化。 本發明係眼險長度量測方法及其裝置，如第 不’本發明量測方法主要包含有1像擷取、 :::、一眼睛偵測定位及一上眼瞼測距等步驟，= 首先’進行影像齡之步驟，其係利用數 取裝置【如數位相機、數位攝影機等】對準消費像擷 部，並擷取該消費者臉部周圍的數位影像圖片；之臉 接著’進行臉部偵測辦識之步驟，當完成消 部的影像類取後，開始執行臉部辦識，由於声辛 臉 晝面中-項重要的資訊。在自然背景與條件;，與，彩 皮膚色彩具同質（Homogeneity)的比率不多；此外” _ 膚色轉換到色彩空間且去除亮度資訊後，將會收翁^ 個小區塊，容易分離非膚色資訊。故利用膚色作；〜 人臉模組建立，是相當可靠W速的。而本發明係= 201145182For the true distance. Inquired that only J Jingji's invention can further provide an eyelid length measuring device, which is characterized by the inclusion of an application; the element, the detection of the image of the face, and the face.卩 之 之 脸 脸 、 、 、 、 = = = = = 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛 眼睛The method of the present invention or [see the measurement of the consumer's upper eye test to provide the false eyelashes of the body = the correct ==, effectively solving the existing false = 3 = the added value of the product, the increase in the width The following is a preferred embodiment of the present invention, and is described in detail with reference to the drawings, and the following is a detailed description of the present invention. At the same time, those who are familiar with the technical field can implement it. [Embodiment] The present invention relates to an eyelid length amount method and apparatus thereof, and illustrates a specific embodiment of the present invention and its components +, all related to front and rear, f and right, top and bottom, upper and lower, As well as horizontal and vertical, the county is convenient to describe, and is not intended to limit the invention, nor to limit the components to any position or spatial direction. The size of the drawings and the description may vary depending on the design and needs of the specific embodiments of the invention, without departing from the scope of the invention. The invention relates to an eye risk length measuring method and a device thereof, for example, the first measuring method of the invention mainly comprises the steps of: 1 image capturing, :::, one eye detecting positioning and one upper eyelid measuring distance, = first 'The step of performing the image age, which uses a number taking device [such as a digital camera, a digital camera, etc.] to align the consumer image and capture the digital image of the face around the consumer's face; the face then 'goes the face' The steps of detecting the information, when the image acquisition of the elimination department is completed, the facial management is started, and the important information is highlighted in the face. In the natural background and conditions;, and, the color of the skin color is not homogenous (Homogeneity) ratio; in addition, _ skin color is converted to the color space and the brightness information is removed, the block will be collected, easy to separate non-skin information Therefore, the use of skin color; ~ face module establishment, is quite reliable W speed. And the present invention = 201145182
亮度分離性與膚色收斂性皆較高的HSV模組【該模組含 色調（Hue)、飽和度（Saturation)及強度值（Value) ’下 稱HSV】。該HSV色彩屬性模式是根據色彩的三個基本 屬性，即色相、飽和度和明度來確定顏色的一種方法。 其中色相00 :是色彩基本屬性，就是平常所說的顏色名 稱，如紅色、綠色、藍色等，依照第2(a)圖所示在標準 色輪上的位置，取0〜360度的數值。而飽和度（S):是 指色彩的純度，越高色彩越純，低則逐漸變灰，取〇〜 100%的數值，如第2(b)圖所示。至於明度（V):則比較 「亮度」’取0〜100%。如此可用於偵測膚色的區域， 將數位影像圖片中的臉部形狀予以保留，並去除影像中 臉部以外的不必要雜訊。 之後’進行眼睛偵測定位之步驟，當完成前述臉部 的偵測辦識後’使用RGB轉成YIQ，把數位影像圖片中 候選區域的亮度資訊（Y值）儲存起來。另一方面，丨值與 Q值’因為視覺感官敏感度低的關係，所以沒有加以^ 用。轉換方程式由公式（1)表示。The HSV module with high brightness separation and skin color convergence [the module contains hue, saturation, and value hereinafter referred to as HSV]. The HSV color attribute mode is a method of determining color based on three basic properties of color, hue, saturation, and lightness. The hue 00 is the basic color attribute, which is the commonly used color name, such as red, green, blue, etc., according to the position on the standard color wheel shown in Figure 2(a), take the value of 0~360 degrees. . Saturation (S): refers to the purity of the color. The higher the color, the softer the color, the lower the color is gradually grayed out, taking the value of 〇~100%, as shown in Figure 2(b). As for the brightness (V): compare "brightness" to take 0 to 100%. This can be used to detect areas of skin tones, preserve the shape of the face in the digital image, and remove unwanted noise from the face in the image. Then, the step of performing the eye detection and positioning, after completing the detection of the face, uses RGB to convert to YIQ, and stores the brightness information (Y value) of the candidate area in the digital image. On the other hand, the 丨 value and the Q value are not used because of the low visual sensory sensitivity. The conversion equation is expressed by the formula (1).
Y 0.299 0.587 0.114 R I — 0.596 0.275 -0.321 G Q_ 0.212 -0.523 0.311 B (1) 經過公式（1)，我們可以得到灰階影像如第2(b)圖所示 並將YIQ轉二值化，其係將影像二值化是一種極端加強 對比的處理方式，此方法常被用來分割出影像中的前^ (Foreground)和背景（Background)兩大區域。其概糸為 201145182 找出一個門檻值（Threshold)T，則二值影像為： ,,f255 if f(x,y)>T g(x^)=l〇 if f{X,y)<T ⑵ 其中白色代表背景，亮度為255 ;黑色則代表前^ _ 度為0。如何取得一個好的門檻值是一門深奥的學門儿 在本發明考慮光線問題會影響到我們的辨識效果:° 本發明利用0TSU的方法自動調整二值化的門檻值，=j 到一張清晰的二值化影像。 風 件Y 0.299 0.587 0.114 RI — 0.596 0.275 -0.321 G Q_ 0.212 -0.523 0.311 B (1) After formula (1), we can obtain the gray scale image as shown in Fig. 2(b) and binarize YIQ. Binding images is an extreme contrast-enhancing approach that is often used to segment the Foreground and Background regions of an image. The general value is 201145182. To find a Threshold T, the binary image is: ,,f255 if f(x,y)>T g(x^)=l〇if f{X,y)< ;T (2) where white represents the background and brightness is 255; black represents the front ^ _ degree is 0. How to obtain a good threshold is an esoteric learning. In the present invention, considering the light problem will affect our identification effect: ° The present invention automatically adjusts the threshold of binarization using the 0TSU method, =j to a clear Binarized image. Wind piece
而該0TSU，門檻值（Threshold)亦稱為閥值，閥值 由統計門檻值決定法（〇tsu method)來取得。如第3 ^ 統計直方圖所示’Gtsu統計式門檻值決定法主 ^ -個二值化之最佳Η檻值⑷’使待測物與背景影像兩族 群之灰_異數加權總〆為⑸、，其處理流程如下：、 假設影像中#L個灰階度，《，代表灰階值為: 個數，其影像中像素點總和為# = „1+”2+ +〜，二·、 中每個灰階度的發生機率可表示為⑶式 衫像 尺的群集，C,代表一。則C。 像素各數占的比率ω。為（4)式· ω〇= Σ /=*1 ⑷ ==佔的比”’㈣足…，因此' (5)201145182 ω〇 有了與1的像素個數佔的 的期望值羊後得到與1 一 其公式如（6)、（7)所示： μύ =y〇x^)/ -Λ (6) ：y ⑺ i^K+\ /仿\ :用外與何以算出Q與ς的變異數<、<為⑻、⑻ fjj-Mjxpy '=丨 /〇〇 (8) -/:+1 / (9) 將，的變賴加上^,變魏，其〆為⑽式： (10) σ1 = ^〇σ〇 + ¢9,0-,2 即C’q之間的變異數σ】可以表示為⑴）式. σΒ=ω〇(Μ〇-ΜκΥ +ωι(Μι~μκ)2 ⑴） 在此^代表整_始景彡像的平均值，表示為⑽式： ）（12) <、<和4之間有（13)的關係： σΙ+σ2Β=σ2κ (⑶ 此處 <是原始影像的變異數為一定值，所以c。與^之 間變異數最尬問題，等於錢異姊最小化問題， 201145182 故只要將灰階0〜255依序帶入上述式子中，以求得每 •個灰階值得〜，再從最小_ K，即為最佳的Η檻值。 襲㈣丨白值 並利用二值化偵測來分辨五官 同時制眉、眼、鼻、口的I本發明可分為四個區塊 為眉毛位於第一區域，眼c言，人臉可分 三區域，口則在第四區域。且：第：:域，鼻子位於第 二區域】做垂直投影，此方^進一步針對眼睛區域【第 且觀察二值化後的有 理並沒有連接起來，這樣同屬於眼睛區域的紋 候，會有破碎的現象，所以 影像中的破碎紋理連結起來土 phology)將 . ^ θ '° 朿在型態學（Morphology) 中，不締疋對圖形做膨脹(dilat ^(〇penln),f^(cl〇si^ ==Ϊ的處理’基本上是利用3*3矩陣的 七、的運算。對於遮罩的運作，又分成四臨界 或八^界兩種。四臨界是以中心像素為主。上、下、左、 右四個像素稱之。人臨界則是在3*3矩陣遮罩中，除了 中心像素以外的像素皆是，以人臨界為例（如第4圖）。 ，先’執/亍膨脹的動作可將外型均勻的加粗。若&、乃、 Λ、Λ、巧、Λ、户8、A有一像素值為1，便將β設為1。 弘P, uh UP3 UP4 UP5 UP6 UP7 u/>8 u/〇 (14) 接著’執行侵钱’若要將外型均勻的縮小，便可對圖形 資料進行侵蝕處理。侵蝕就是只要6、5、A、5、6、户7、 201145182 8、A當中有一像素值為〇 ’即設β為〇，也就是將原本 之乃刪除。 6 =乃π(Λ门巧门户4门户5 πρ6 πλ (1户8 ηη) (丄5) 如此可在找出臉部的區域後’將數位影像圖片由RGB轉 換至HSV空間，再將取得的臉形RGB轉至yiq空間，接 著用OUST來定義門檻值，之後將YIQ影像轉至二值化影 像，最後利用人臉特性找出影像中的眼睛所在位置。 最後，進行上眼瞼測距之步驟’在完成眼睛债測定 位後，並利用扇形掃描找出上眼瞼所在位置，透過曲線 距離公式求出上眼瞼的長度，接著使用函數類神經模糊 網路【functional neuro-fuzzy ne切〇rk，FNFN】，再 透過攝影機擷取上眼瞼的長度影像做為輸入，輸出則為 真實的距離。 ' 藉此，使用HSV找出整張影像中人臉的位置，利用 人臉五g的特徵性找出眼睛的位置，再使用扇形掃描去 找出上眼瞼的位置，並利用曲線長度公式找出上眼瞼在 於影像中的長度，接著再使用FNFN，透過數位影像中上 眼知的長度作為輸人’輸㈣為上眼目纟真實的距離，而 組構成一眼瞼長度量測方法者。 f透過前述的量測方法，本發明進一步可提供一種 2含前述量測方法的量測裝置，該量測裝置包含有一可 镞：巧部的影像擷取單元、一檢知臉部形狀之臉部偵測 識單元、一檢知眼睛定位之眼睛偵測定位單元及一上 ’測距單兀為其構件，而透過前述量測方法與量測裝 ，能供迅速取得料者的上眼目m域剪出最佳 201145182 的假睫毛長度，可有效節省消費者每次使用前裁剪 間’且能避免發生假睫毛裁剪過長或過短的困擾，、時 提升其附加價值與經濟效益。 大巾畜 藉此，可以理解到本發明為一創意極佳之創 了有效解決習式者所面臨的問題，更大幅增進功效，除 在相同的技術領域中未見相同或近似的加工物創作^ 開使用’同時具有功效的増進，故本發明已符合發= 利有關「新穎性」與「進步性」的要件，乃依法提 請發明專利。 【圖式簡單說明】 第1圖：係本發明之量測方法的流程方塊示意圖。 第2圖：係本發明之（a)色彩屬性示意圖與（b)圓柱 體色彩屬性示意圖。 第3圖：係本發明之統計直方示意圖。 第4圖：係本發明之遮罩圖素設定示意圖。 【主要元件符號說明】For the 0TSU, the Threshold is also called the threshold, and the threshold is obtained by the statistical threshold method. As shown in the 3^ statistical histogram, the 'Gtsu statistical threshold value determines the best value of the binarization (4)', and the gray-singular weighted total of the two groups of the object and the background image is (5), the processing flow is as follows: Assume that #L gray scales in the image, ", represents the gray scale value: number, the sum of the pixel points in the image is # = „1+”2+ +~, II· The probability of occurrence of each gray scale can be expressed as a cluster of (3) shirts, and C, representing one. Then C. The ratio ω of the number of pixels. For (4) · ω〇 = Σ /=*1 (4) == accounted for the ratio of ''(four) feet..., therefore '(5)201145182 ω〇 has the expected value of 1 pixel and the number of pixels is obtained 1 The formula is as shown in (6) and (7): μύ = y〇x^) / -Λ (6) : y (7) i^K+\ / imitation \ : What is the difference between Q and 用? <, < is (8), (8) fjj-Mjxpy '=丨/〇〇(8) -/:+1 / (9) Adding the change to ^, changing Wei, then ( is (10): (10 Σ1 = ^〇σ〇+ ¢9,0-,2 The variation σ between C'q can be expressed as (1)). σΒ=ω〇(Μ〇-ΜκΥ +ωι(Μι~μκ)2 (1)) Here, ^ represents the average value of the whole 始 initial image, expressed as (10): (12) <, < and 4 have a relationship of (13): σΙ+σ2Β=σ2κ ((3) here <The variation of the original image is a certain value, so the most ambiguous problem between c and ^ is equal to the problem of minimizing the difference of money, 201145182, so just bring the gray scale 0~255 into the above formula. In order to obtain a gray value worth ~, and then from the smallest _ K, that is the best value. Attack (four) 丨 white value and use binarization detection to distinguish The officer can also make eyebrows, eyes, nose and mouth at the same time. The invention can be divided into four blocks for the eyebrows to be located in the first region, the eye c, the face can be divided into three regions, and the mouth is in the fourth region. : domain, nose is located in the second area] to do vertical projection, this side ^ further for the eye area [the first observation and the rationalization after binarization is not connected, so that the same belongs to the eye area, there will be broken phenomenon, So the broken texture in the image is linked to the soil phology). ^ θ '° M In Morphology, the expansion of the graph is not done (dilat ^(〇penln), f^(cl〇si^ = The processing of =Ϊ is basically the operation of the seventh of the 3*3 matrix. For the operation of the mask, it is divided into four critical or eight-boundary. The fourth critical is based on the central pixel. Up, down, left The right four pixels are called. The human criticality is in the 3*3 matrix mask, except for the central pixel, which is based on the human criticality (as shown in Figure 4). The action can make the appearance evenly thicker. If &, is, Λ, Λ, Qiao, Λ, household 8, A has a pixel value 1, will set β to 1. Hong P, uh UP3 UP4 UP5 UP6 UP7 u /> 8 u / 〇 (14) Then 'execise the invasion of money' to evenly reduce the appearance, you can map the data Erosion treatment. Erosion is as long as 6, 5, A, 5, 6, household 7, 201145182 8, A has a pixel value of 〇 'that is, set β to 〇, that is, the original is deleted. 6 = is π (Λ门巧 Portal4 Portal 5 πρ6 πλ (1 household 8 ηη) (丄5) So after finding the area of the face, 'transfer the digital image from RGB to HSV space, and then get The face shape RGB is transferred to the yiq space, then the OUST is used to define the threshold value, then the YIQ image is transferred to the binarized image, and finally the face feature is used to find the position of the eye in the image. Finally, the step of performing the upper eyelid distance measurement' After completing the eye defect measurement position, and using the sector scan to find the position of the upper eyelid, the length of the upper eyelid is obtained by the curve distance formula, and then the function neuro-fuzzy network is used [functional neuro-fuzzy ne cut rk, FNFN] Then, through the camera, the length image of the upper eyelid is taken as the input, and the output is the real distance. ' By this, the HSV is used to find the position of the face in the whole image, and the characteristic of the face is used to find the eye. Position, then use the sector scan to find the position of the upper eyelid, and use the curve length formula to find the length of the upper eyelid in the image, and then use FNFN, through the length of the upper eye in the digital image The input 'transmission (four) is the upper distance of the eye, and the group constitutes one eye length measurement method. f Through the foregoing measurement method, the present invention further provides a measurement device including the foregoing measurement method, The measuring device comprises: an image capturing unit of the smart part, a face detecting unit for detecting the shape of the face, an eye detecting and positioning unit for detecting the eye positioning, and an on-the-spot measuring unit The components, through the above-mentioned measurement method and measuring device, can quickly obtain the false eyelash length of the best 201145182 in the upper eye m domain of the material, which can effectively save the consumer before each use of the cutting room' and can avoid The false eyelashes are cut too long or too short, and the added value and economic benefits are enhanced. The big towel animal can understand that the present invention is an excellent idea to create an effective solution to the problems faced by the practitioners. , in addition to the same technical field, the same or similar processing of the creation of the same technology, and the use of 'simultaneous efficacy, so the invention has been consistent with the issue of "newness" and " The requirements of the "step" are the invention patents according to law. [Simplified illustration of the drawings] Fig. 1 is a schematic flow chart of the measurement method of the present invention. Fig. 2 is a schematic diagram of (a) color attributes of the present invention ( b) Schematic diagram of the color attribute of the cylinder. Fig. 3 is a schematic diagram of the statistical histogram of the present invention. Fig. 4 is a schematic diagram showing the setting of the mask element of the present invention.