TWI749909B - Image analysis system and image analysis method - Google Patents
Image analysis system and image analysis method Download PDFInfo
- Publication number
- TWI749909B TWI749909B TW109141592A TW109141592A TWI749909B TW I749909 B TWI749909 B TW I749909B TW 109141592 A TW109141592 A TW 109141592A TW 109141592 A TW109141592 A TW 109141592A TW I749909 B TWI749909 B TW I749909B
- Authority
- TW
- Taiwan
- Prior art keywords
- image
- tooth
- plaque
- ultraviolet light
- white light
- Prior art date
Links
Images
Landscapes
- Dental Tools And Instruments Or Auxiliary Dental Instruments (AREA)
Abstract
Description
本發明是有關於一種影像分析,且特別是有關於一種影像分析系統與影像分析方法。The present invention relates to an image analysis, and particularly relates to an image analysis system and an image analysis method.
牙菌斑數量是衡量一個人的牙齒健康程度的一個參考指標。傳統上,牙菌斑的檢測是經由醫師透過肉眼逐顆牙齒比對與檢查,並以人工的方式將每一顆牙齒的牙菌斑分布情形登記到表格上。然而,此種紀錄方式除了效率不佳外,更需要消耗醫療人員的時間與精神。The number of dental plaque is a reference index to measure a person's dental health. Traditionally, the detection of dental plaque is performed by a physician comparing and examining each tooth with the naked eye, and manually registering the plaque distribution of each tooth on a form. However, this recording method is not only inefficient, but also consumes the time and energy of medical staff.
本發明提供一種影像分析系統與影像分析方法,可自動判斷齒號以及牙菌斑分布情形。The invention provides an image analysis system and an image analysis method, which can automatically determine the tooth number and the distribution of dental plaque.
本發明的影像分析系統包括儲存裝置、取像裝置以及處理電路。儲存裝置用以儲存牙位辨識模組以及牙菌斑辨識模組。取像裝置用以取得對應於牙齒的白光影像以及紫外光影像。處理電路耦接儲存裝置以及取像裝置。在本實施例中,處理電路將白光影像輸入至牙位辨識模組,並且牙位辨識模組輸出被定義有對應於牙齒的多個牙位的多個牙齒區域的牙齒影像。在本實施例中,處理電路將紫外光影像輸入至牙菌斑辨識模組,並且牙菌斑辨識模組依據紫外光影像來輸出牙菌斑分布影像。在本實施例中,處理電路藉由牙位辨識模組比對牙菌斑分布影像以及牙齒影像,以分析牙齒區域中各別的牙菌斑分布,並且建立對應於牙齒的牙菌斑數值表。The image analysis system of the present invention includes a storage device, an image capturing device and a processing circuit. The storage device is used for storing the tooth position identification module and the dental plaque identification module. The image capturing device is used to obtain white light images and ultraviolet light images corresponding to the teeth. The processing circuit is coupled to the storage device and the image capturing device. In this embodiment, the processing circuit inputs the white light image to the tooth position recognition module, and the tooth position recognition module outputs tooth images defined with a plurality of tooth regions corresponding to a plurality of tooth positions of the tooth. In this embodiment, the processing circuit inputs the ultraviolet light image to the dental plaque recognition module, and the dental plaque recognition module outputs the plaque distribution image according to the ultraviolet light image. In this embodiment, the processing circuit compares the plaque distribution image and the tooth image with the tooth position recognition module to analyze the individual plaque distribution in the tooth region, and establish a plaque value table corresponding to the tooth .
本發明的影像分析方法包括以下步驟:透過取像裝置取得對應於牙齒的白光影像以及紫外光影像;將白光影像輸入至牙位辨識模組,以使牙位辨識模組輸出被定義有對應於牙齒的多個牙位的多個牙齒區域的牙齒影像;將紫外光影像輸入至牙菌斑辨識模組,以使牙菌斑辨識模組依據紫外光影像來輸出牙菌斑分布影像;以及藉由牙位辨識模組比對牙菌斑分布影像以及牙齒影像,以分析些牙齒區域中各別的牙菌斑分布,並且建立對應於牙齒的牙菌斑數值表。The image analysis method of the present invention includes the following steps: obtaining white light images and ultraviolet light images corresponding to the teeth through the image capturing device; Tooth images of multiple tooth regions and multiple tooth positions of the tooth; input the ultraviolet light image to the plaque recognition module so that the plaque recognition module outputs the plaque distribution image according to the ultraviolet light image; and The tooth position recognition module compares the plaque distribution image and the tooth image to analyze the individual plaque distribution in some tooth regions, and establish a plaque value table corresponding to the teeth.
基於上述,本發明的影像分析系統與影像分析方法可自動判斷齒號以及牙菌斑分布情形,有效地減少檢查牙菌斑所需的時間。Based on the above, the image analysis system and the image analysis method of the present invention can automatically determine the tooth number and the distribution of dental plaque, effectively reducing the time required for the inspection of dental plaque.
為讓本發明的上述特徵和優點能更明顯易懂,下文特舉實施例,並配合所附圖式作詳細說明如下。In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.
為了使本發明之內容可以被更容易明瞭,以下特舉實施例作為本發明確實能夠據以實施的範例。另外,凡可能之處,在圖式及實施方式中使用相同標號的元件/構件/步驟,是代表相同或類似部件。In order to make the content of the present invention more comprehensible, the following embodiments are specifically cited as examples on which the present invention can indeed be implemented. In addition, wherever possible, elements/components/steps with the same reference numbers in the drawings and embodiments represent the same or similar parts.
並且,除非另有定義,本文使用的所有術語(包括技術和科學術語)具有與本發明所屬領域的普通技術人員通常理解的相同的含義。將進一步理解的是,諸如在通常使用的字典中定義的那些術語應當被解釋為具有與它們在相關技術和本發明的上下文中的含義一致的含義,並且將不被解釋為理想化的或過度正式的意義,除非本文中明確地這樣定義。And, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having meanings consistent with their meaning in the context of related technologies and the present invention, and will not be interpreted as idealized or excessive The formal meaning, unless explicitly defined as such in this article.
圖1是依照本發明的一實施例的一種影像分析系統的示意圖。參考圖1,在本實施例中,影像分析系統100包括儲存裝置150、取像裝置120以及處理電路130。儲存裝置150用以儲存牙位辨識模組151以及牙菌斑辨識模組152。取像裝置120用以取得對應於牙齒的白光影像以及紫外光影像。處理電路130耦接儲存裝置150以及取像裝置120。在本實施例中,處理電路130將白光影像輸入至牙位辨識模組151,並且牙位辨識模組151輸出被定義有對應於牙齒的多個牙位的多個牙齒區域的牙齒影像。並且,處理電路130將紫外光影像輸入至牙菌斑辨識模組152,並且牙菌斑辨識模組依據紫外光影像來輸出牙菌斑分布影像。如此一來,處理電路130可藉由牙位辨識模組比對牙菌斑分布影像以及牙齒影像,以分析所述多個牙齒區域中各別的牙菌斑分布,並且建立對應於牙齒的牙菌斑數值表。因此,本發明的影像分析系統可自動判斷齒號以及牙菌斑分布情形,有效地減少檢查牙菌斑所需的時間。FIG. 1 is a schematic diagram of an image analysis system according to an embodiment of the invention. 1, in this embodiment, the
在本實施例中,儲存裝置150可例如包括隨機存取記憶體(Random-Access Memory;RAM)、唯讀記憶體(Read-Only Memory;ROM)、光碟(Optical disc)、磁碟(Magnetic disk)、硬驅動機(Hard drive)、固態驅動機(Solid-state drive)、快閃驅動機(Flash drive)、安全數位(Security digital;SD)卡、記憶條(Memory stick)、緊密快閃(Compact flash;CF)卡或任何類型的儲存設備,但本發明不以此為限。在本實施例中,取像裝置120可例如包括可見光攝影機、紅外線(Infrared light)攝影機、熱顯像攝影機、彩色影像深度攝影機,但本發明並不以此為限。在本實施例中,處理電路130可例如包括中央處理器(Central Processing Unit,CPU)、微處理器(Microprocessor Control Unit,MCU)或現場可程式閘陣列(Field Programmable Gate Array,FPGA),但本發明並不以此為限。In this embodiment, the
圖2是依照本發明的一實施例的影像分析方法的流程圖。參考圖1及圖2,影像分析系統100可執行以下步驟S210~S240,以建立對應於牙齒的牙菌斑數值表。在步驟S210中,影像分析系統100可經由白光光源101照明牙齒。並且,當白光光源101照明牙齒時,影像分析系統100可透過取像裝置120拍攝牙齒,以取得白光影像。在步驟S220中,影像分析系統100可經由紫外光光源102照明牙齒。並且,當紫外光光源102照明牙齒時,影像分析系統100可透過取像裝置120拍攝牙齒,以取得紫外光影像。FIG. 2 is a flowchart of an image analysis method according to an embodiment of the invention. 1 and 2, the
需要說明的是,參考圖3A至圖3E,在步驟S210以及步驟S220中,取像裝置120可對應於如圖3A至圖3E的不同的取樣位置,拍攝多組白光影像以及紫外光影像,但本發明不以此為限。圖3A是依照本發明的一實施例的牙齒的頰側的正面影像310的示意圖。圖3B是依照本發明的一實施例的牙齒的頰側的一側面影像320的示意圖。圖3C是依照本發明的一實施例的牙齒的頰側的另一側面影像330的示意圖。圖3D是依照本發明的一實施例的牙齒的咬合側的上顎影像340的示意圖。圖3E是依照本發明的一實施例的牙齒的咬合側的下顎影像350的示意圖。也就是說,取像裝置120可在不同時間從對應於牙齒的同一取樣位置來取得白光影像以及紫外光影像。並且,取像裝置120可從對應於牙齒的多個不同取樣位置,取得多組如圖3A至圖3E的白光影像以及紫外光影像。It should be noted that, referring to FIGS. 3A to 3E, in step S210 and step S220, the
附帶一提,在本實施例中,影像分析系統100可包括光源驅動電路110,用以驅動白光光源101以及紫外光光源102。舉例而言,在步驟S210中,光源驅動電路110可驅動白光光源101,使白光光源101照明牙齒。並且,在步驟S220中,光源驅動電路110可驅動紫外光光源102,使紫外光光源102照明牙齒。經由光源驅動電路110驅動不同的光源,取像裝置120可對應地分別取得白光影像以及紫外光影像。值得注意的是,在本實施例中,紫外光光源102的亮度值可大於白光光源101的亮度值,以便後續的影像處理有較好的效果,但本發明並不限於此。在其他實施例中,白光光源101的亮度值可大於紫外光光源102的亮度值。或者,取像裝置120取得紫外光影像的曝光時間長度可大於取得白光影像的曝光時間長度,取得類似於紫外光光源102的亮度值大於白光光源101的亮度值的效果。又或者,取像裝置120可將取得紫外光影像的白平衡設定不同於取得白光影像的白平衡設定,取得類似於紫外光光源102的亮度值大於白光光源101的亮度值的效果。Incidentally, in this embodiment, the
回到圖2,在步驟S211中,參考圖3A至圖4,處理電路130可將如圖3A至圖3E的白光影像輸入至牙位辨識模組151,以使牙位辨識模組151輸出被定義有對應於牙齒的多個牙位的多個牙齒區域401-1~401-N(N為大於1的正整數)的牙齒影像400。具體而言,處理電路130可將如圖3A至圖3E的白光影像輸入至牙位辨識模組151。並且,處理電路130可依據牙齒資料庫對牙齒影像400進行牙位標記,以藉由影像辨識牙齒影像400中的多個牙齒特徵來定義在牙齒影像400中的所述多個牙位的所述多個牙齒區域401-1~401-N。舉例而言,處理電路130可使用faster-RCNN、YoLo等模型建立深度學習物件偵測演算法,並採用特徵抽取方法VGG16或Resnet101作為骨幹網路(backbone network),以完成牙齒推論模型。接著,處理電路130可依據牙齒推論模型框選出白光影像中每顆牙齒的位置,以輸出被定義有對應於牙齒的多個牙位的多個牙齒區401-1~401-N的牙齒影像400。Returning to FIG. 2, in step S211, referring to FIGS. 3A to 4, the
在步驟S221中,參考圖5A至圖5C,處理電路130可將紫外光影像510輸入至牙菌斑辨識模組152,以使牙菌斑辨識模組152依據紫外光影像510輸出牙菌斑分布影像520。具體而言,牙菌斑辨識模組152可將紫外光影像510轉換為HSV格式,並使用螢光範圍閥值(或稱預設範圍)來找出紫外光影像510中的牙菌斑的位置。舉例而言,原始的紫外光影像510可為RGB色彩空間的格式。並且,牙菌斑辨識模組152可將紫外光影像510從RGB色彩空間轉換至HSV色彩空間。再者,牙菌斑辨識模組152可依據預設範圍來判斷經色彩空間轉換後的紫外光影像510中的多個牙菌斑像素521,以產生如圖5B的牙菌斑分布影像520。在本實施例中,圖5B的牙菌斑分布影像520可為二值化影像。接著,牙菌斑辨識模組152可將圖5B的牙菌斑分布影像520以及圖5A紫外光影像510進行影像堆疊,以產生如圖5C的包含有多個牙菌斑像素531的堆疊影像530,但本發明並不限於此。在一實施例中,牙菌斑辨識模組152可將圖5B的牙菌斑分布影像520以及類似於圖4的牙齒影像400(白光影像)進行影像堆疊,以產生以白光影像的牙齒影像為背景的堆疊影像,以使同樣可用於表示牙菌斑分布資訊。影像分析系統100還可透過顯示裝置140顯示堆疊影像530,以提供牙菌斑分布資訊予醫療人員進行判斷。另外,在其他實施例中,牙菌斑辨識模組152可將紫外光影像510從第一色彩空間的格式轉換至第二色彩空間的格式,其中所述第一色彩空間以及所述第二色彩空間可各別任選自RGB色彩空間、HSV色彩空間或HSL色彩空間等各種不同的色彩空間,而不限於上述實施方式。In step S221, referring to FIGS. 5A to 5C, the
需要說明的是,參考圖3A至圖4,在步驟S211中,附帶一提,在步驟S211中,牙位辨識模組151可選擇性地對白光影像進行影像前處理,以產生牙齒影像400。舉例而言,牙位辨識模組151可對白光影像裁切取下白光影像中牙齦特定區域內包含的部分。並且,牙位辨識模組151可對白光影像進行影像對比調整、亮度調整以及影像正規化處理。類似地,在步驟S221中,牙菌斑辨識模組152可選擇性地對紫外光影像510進行影像前處理,以產生牙菌斑分布影像520。It should be noted that, referring to FIGS. 3A to 4, in step S211, in addition, in step S211, the tooth
回到圖2,在步驟S230中,處理電路130經由牙位辨識模組151比對牙菌斑分布影像520以及牙齒影像400,以分析多個牙齒區域401-1~401-N中個別的牙菌斑分布。舉例而言,牙位辨識模組151可比對圖5B的牙菌斑分布影像520以及圖4的牙齒影像400,以各別計算所述多個牙齒區域401-1~401-N各別的牙菌斑像素521的數量。接著,在步驟S240中,處理電路130依據上述資訊,建立對應於牙齒的牙菌斑數值表。舉例而言,牙位辨識模組151可依據所述多個牙位的各別的牙菌斑數值來建立牙菌斑數值表。也就是說,牙位辨識模組151可依據所述多個牙位的各別的牙菌斑像素521的數量來計算出牙菌斑數值,並依據牙菌斑數值來建立如以下表1的牙菌斑數值表。
表1是依照本發明一實施例的牙菌斑數值表。表1中的齒號是依據國際牙科聯盟(Fédération Dentaire Internationale,FDI)提出的牙位表示法。具體來說,每顆牙齒用兩位數字表示。第一位數字可用於表示牙齒所在的象限,其中所述象限可例如包括對應於牙齒的右上、左上、左下及右下的位置。並且,第二位數字可用於表示牙齒的位置,例如從中門齒到第三臼齒分別為1-8。此外,表1中的牙菌斑數值是牙位辨識模組151牙位辨識模各別計算對應於各齒號的牙齒區域401-1~401-N中的牙菌斑像素521的數量而得到的數值。Table 1 is a numerical table of dental plaque according to an embodiment of the present invention. The tooth numbers in Table 1 are based on the tooth position notation proposed by the Fédération Dentaire Internationale (FDI). Specifically, each tooth is represented by two digits. The first digit can be used to indicate the quadrant in which the tooth is located, where the quadrant can, for example, include positions corresponding to the upper right, upper left, lower left, and lower right of the tooth. And, the second digit can be used to indicate the position of the teeth, for example, from the middle incisor to the third molar, 1-8 respectively. In addition, the plaque values in Table 1 are obtained by the tooth
在本實施例中,處理電路130可透過顯示裝置來顯示如上表1的牙菌斑數值表以及堆疊影像530的至少其中之一,以有效提供牙菌斑分布資訊予醫療人員進行判斷。順帶一提,在一實施例中,影像分析系統100亦可整合至手機等行動電子裝置,以讓使用者可自行檢查牙齒的牙菌斑分布情形。In this embodiment, the
綜上所述,本發明的影像分析系統與影像分析方法可自動判斷齒號以及牙菌斑分布情形,有效地減少檢查牙菌斑所需的時間。如此一來,不僅可增加醫療人員的效率,也可減少受測者所許等待的時間。In summary, the image analysis system and image analysis method of the present invention can automatically determine the number of teeth and the distribution of dental plaque, effectively reducing the time required for checking dental plaque. In this way, not only can the efficiency of medical staff be increased, but also the waiting time allowed by the testees can be reduced.
100:影像分析系統
101:白光光源
102:紫外光光源
110:光源驅動電路
120:取像裝置
130:處理電路
140:顯示裝置
150:儲存裝置
151:牙位辨識模組
152:牙菌斑辨識模組
310:正面影像
320、330:側面影像
340:上顎影像
350:下顎影像
400:牙齒影像
401-1~401-N:牙齒區域
510:紫外光影像
520:牙菌斑分布影像
521、531:牙菌斑像素
530:堆疊影像
S210、S211、S220、S221、S230、S240:步驟
100: image analysis system
101: White light source
102: UV light source
110: Light source drive circuit
120: Capture device
130: processing circuit
140: display device
150: storage device
151: Tooth recognition module
152: Dental plaque recognition module
310:
圖1是依照本發明的一實施例的一種影像分析系統的示意圖。 圖2是依照本發明的一實施例的影像分析方法的流程圖。 圖3A是依照本發明的一實施例的牙齒的頰側的正面影像的示意圖。 圖3B是依照本發明的一實施例的牙齒的頰側的一側面影像的示意圖。 圖3C是依照本發明的一實施例的牙齒的頰側的另一側面影像的示意圖。 圖3D是依照本發明的一實施例的牙齒的咬合側的上顎影像的示意圖。 圖3E是依照本發明的一實施例的牙齒的咬合側的下顎影像的示意圖。 圖4是依照本發明的一實施例的牙位辨識的示意圖。 圖5A是依照本發明的一實施例的紫外光影像的示意圖。 圖5B是依照本發明的一實施例的牙菌斑分布影像的示意圖。 圖5C是依照本發明的一實施例的堆疊影像的示意圖。 FIG. 1 is a schematic diagram of an image analysis system according to an embodiment of the invention. FIG. 2 is a flowchart of an image analysis method according to an embodiment of the invention. 3A is a schematic diagram of a frontal image of the buccal side of a tooth according to an embodiment of the present invention. 3B is a schematic diagram of a profile image of the buccal side of a tooth according to an embodiment of the present invention. FIG. 3C is a schematic diagram of another silhouette image of the buccal side of a tooth according to an embodiment of the present invention. 3D is a schematic diagram of an image of the upper jaw on the occlusal side of a tooth according to an embodiment of the present invention. 3E is a schematic diagram of a lower jaw image of the occlusal side of a tooth according to an embodiment of the present invention. Fig. 4 is a schematic diagram of tooth position identification according to an embodiment of the present invention. FIG. 5A is a schematic diagram of an ultraviolet light image according to an embodiment of the invention. 5B is a schematic diagram of an image of dental plaque distribution according to an embodiment of the present invention. FIG. 5C is a schematic diagram of stacked images according to an embodiment of the invention.
100:影像分析系統 100: image analysis system
101:白光光源 101: White light source
102:紫外光光源 102: UV light source
110:光源驅動電路 110: Light source drive circuit
120:取像裝置 120: Capture device
130:處理電路 130: processing circuit
140:顯示裝置 140: display device
150:儲存裝置 150: storage device
151:牙位辨識模組 151: Tooth recognition module
152:牙菌斑辨識模組 152: Dental plaque recognition module
Claims (18)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW109141592A TWI749909B (en) | 2020-11-26 | 2020-11-26 | Image analysis system and image analysis method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW109141592A TWI749909B (en) | 2020-11-26 | 2020-11-26 | Image analysis system and image analysis method |
Publications (2)
Publication Number | Publication Date |
---|---|
TWI749909B true TWI749909B (en) | 2021-12-11 |
TW202221647A TW202221647A (en) | 2022-06-01 |
Family
ID=80681281
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW109141592A TWI749909B (en) | 2020-11-26 | 2020-11-26 | Image analysis system and image analysis method |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWI749909B (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080058786A1 (en) * | 2006-04-12 | 2008-03-06 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Autofluorescent imaging and target ablation |
TWM503883U (en) * | 2015-03-30 | 2015-07-01 | Dentmate Technology Co Ltd | Dental plaque detector with camera |
CN105942962A (en) * | 2016-06-05 | 2016-09-21 | 郭菲 | Oral cavity endoscope diagnosis supporting device |
TW202009865A (en) * | 2018-08-30 | 2020-03-01 | 廣達電腦股份有限公司 | Image processing method and device for fluorescence region of teeth |
TW202014151A (en) * | 2018-10-10 | 2020-04-16 | 歐陽聰星 | Method, system, computer device and storage medium of virtual editing of teeth |
-
2020
- 2020-11-26 TW TW109141592A patent/TWI749909B/en active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080058786A1 (en) * | 2006-04-12 | 2008-03-06 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Autofluorescent imaging and target ablation |
TWM503883U (en) * | 2015-03-30 | 2015-07-01 | Dentmate Technology Co Ltd | Dental plaque detector with camera |
CN105942962A (en) * | 2016-06-05 | 2016-09-21 | 郭菲 | Oral cavity endoscope diagnosis supporting device |
TW202009865A (en) * | 2018-08-30 | 2020-03-01 | 廣達電腦股份有限公司 | Image processing method and device for fluorescence region of teeth |
TW202014151A (en) * | 2018-10-10 | 2020-04-16 | 歐陽聰星 | Method, system, computer device and storage medium of virtual editing of teeth |
Also Published As
Publication number | Publication date |
---|---|
TW202221647A (en) | 2022-06-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11810271B2 (en) | Domain specific image quality assessment | |
US11452577B2 (en) | Generation of synthetic post treatment images of teeth | |
US7454046B2 (en) | Method and system for analyzing skin conditions using digital images | |
CN104470416B (en) | Image processing apparatus and endoscope apparatus | |
CN107800966B (en) | Method, apparatus, computer readable storage medium and the electronic equipment of image procossing | |
KR102176490B1 (en) | Methods for Segmentation and Processing of Dental Images for Diagnosing, Predicting, or Managing Oral Conditions | |
US20080232662A1 (en) | Outline detection apparatus, outline detection method, and program thereof | |
CN113379697B (en) | Color image caries identification method based on deep learning | |
ALbahbah et al. | Detection of caries in panoramic dental X-ray images using back-propagation neural network | |
Koutsouri et al. | Detection of occlusal caries based on digital image processing | |
TWI749909B (en) | Image analysis system and image analysis method | |
Chen et al. | Automated Detection System Based on Convolution Neural Networks for Retained Root, Endodontic Treated Teeth, and Implant Recognition on Dental Panoramic Images | |
CN114399621A (en) | Oral disease recognition system based on deep learning | |
Liu et al. | Automatic detection and classification of dental fluorosis in vivo using white light and fluorescence imaging | |
Ghaznavi Bidgoli et al. | Automatic diagnosis of dental diseases using convolutional neural network and panoramic radiographic images | |
Javid et al. | Marking early lesions in labial colored dental images using a transfer learning approach | |
CN115552512A (en) | Image display system and image display method | |
IL264041A (en) | Personal authentication device | |
KR102636215B1 (en) | Electronic device, method and program for scanning scalp based on image | |
CN111462114A (en) | Tooth color value determination method and device and electronic equipment | |
JP2008244794A (en) | Image processor, and image processing method | |
Keerthana et al. | Classification of tooth type from dental X-ray image using projection profile analysis | |
JP2016151584A (en) | Organ image capturing device | |
KR102434843B1 (en) | Artificial teeth manufacturing information generation method and artificial teeth manufacturing system | |
WO2022095839A1 (en) | Image processing method, and electronic device and readable storage medium |