Examination system and examination method thereof

Abstract

An examination system is provided. The examination system includes an optical detector and analyzer. The optical detector emits a detection light source toward a target object and detects a respondent light which is induced from the target object in response to the detection light source to generate image data. The image data indicates a detection image. The analyzer receives the image data and determines which region of the target object the detection image belongs to according to the image data. When the analyzer determines that the detection image belongs to a specific region of the target object, the analyzer extracts at least one feature of the image data to serve as a basis for classification of the specific region.

What is claimed is: 
     
         1 . An examination system comprising:
 an optical detector emitting a detection light source toward a target object and detecting a respondent light which is induced from the target object in response to the detection light source to generate image data, wherein the image data indicates a detection image; and   an analyzer receiving the image data and determining which region of the target object the detection image belongs to according to the image data,   wherein when the analyzer determines that the detection image belongs to a specific region of the target object, the analyzer extracts at least one feature of the image data to serve as a basis for classification of the specific region.   
     
     
         2 . The examination system as claimed in  claim 1 , wherein the analyzer determines whether the image data has a region tag, and, in response to determining that the image data has the region tag, the analyzer determines which one region of the target object the detection image belongs to according to a content of the region tag. 
     
     
         3 . The examination system as claimed in  claim 2 , wherein the content of region tag is decided by the optical detector. 
     
     
         4 . The examination system as claimed in  claim 2 , further comprising:
 a controller generating a control instruction to control the optical detector to decide the content of the region tag in a specific order.   
     
     
         5 . The examination system as claimed in  claim 2 , wherein the analyzer selects at least one of a plurality of predetermined operations according to the content of the region tag and extracts the at least one feature of the image data according to the at least one predetermined operation selected by the analyzer. 
     
     
         6 . The examination system as claimed in to  claim 1 ,
 wherein the analyzer determines whether the detection image includes an image of a reference portion of the target object according to the image data, and   wherein, in response to determining that the detection image includes the image of the reference portion of the target object, the analyzer determines which one region of the target object the detection image belongs to according to the reference portion.   
     
     
         7 . The examination system as claimed in  claim 6 ,
 wherein, in response to determining that the detection image belongs to the specific region of the target object, the analyzer provides a region tag for the image data, and   wherein the analyzer selects at least one of a plurality of predetermined operations according to the content of the region tag and extracts the at least one feature of the image data according to the at least one predetermined operation selected by the analyzer.   
     
     
         8 . The examination system as claimed in  claim 1 , wherein the target object is an oral cavity. 
     
     
         9 . The examination system as claimed in  claim 1 , wherein the optical detector comprises:
 a processor;   a light-emitting module comprising at least one light excitation element and controlled by the processor to emit the detection light source through the light excitation element; and   a filter module,   wherein the respondent light from the target object passes through the filter module, and a light component having a specific wavelength remains in the respondent light, and   wherein the processor receives the respondent light passing through the filter module and generates the image data according to the respondent light.   
     
     
         10 . The examination system as claimed in  claim 9 , wherein the light-emitting module further comprises a white-light-emitting element, and the light-emitting module is controlled by the processor to emit the detection light source selectively by the at least one light excitation element or the white-light-emitting element. 
     
     
         11 . The examination system as claimed in  claim 1 , wherein the optical detection transmits the image data to the analyzer by a wire or wireless connection. 
     
     
         12 . The examination system as claimed in  claim 1 , wherein the image data includes a plurality of grayscale values of a plurality of pixels, and the analyzer calculates an average intensity of the plurality of grayscale values, a heterogeneity or homogeneity between the plurality of grayscale values, a contrast between the plurality of grayscale values, or a correlation between the plurality of grayscale values to serve as the at least one feature of the image data. 
     
     
         13 . The examination system as claimed in  claim 1 , wherein the analyzer classifies the specific region as a first category or a second category according to the at least one feature of the image data, and the first category and the second category indicate an abnormal region and a normal region respectively. 
     
     
         14 . The examination system as claimed in  claim 1 , wherein the analyzer computes a possibility that the specific region belongs to a first category or a second category according to the at least one feature of the image data, and the first category and the second category indicate an abnormal region and a normal region respectively. 
     
     
         15 . An examination method comprising:
 emitting a detection light source toward a target object;   generating image data according to a respondent light which is induced from the target object in response to the detection light source, wherein the image data indicates a detection image;   determining which region of the target object the detection image belongs to according to the image data;   extracting at least one feature of the image data in response to determining that the detection image belongs to a specific region of the target object; and   taking the at least one feature of the image data as a basis for classification of the specific region.   
     
     
         16 . The examination method as claimed in  claim 15 , wherein the step of determining which region of the target object the detection image belongs to comprises:
 determining whether the image data has a region tag; and   in response to determining that the image data has the region tag, determining which one region of the target object the detection image belongs to according to a content of the region tag.   
     
     
         17 . The examination method as claimed in  claim 16 , wherein the content of the region tag is decided in a specific order. 
     
     
         18 . The examination method as claimed in  claim 16 , wherein the step of extracting the at least one feature of the image data comprises:
 selecting at least one of a plurality of predetermined operations according to the content of the region tag; and   extracting the at least one feature of the image data according to the at least one predetermined operation which is selected.   
     
     
         19 . The examination method as claimed in to  claim 15 , wherein the step of determining which region of the target object the detection image belongs to comprises:
 determining whether the detection image includes an image of a reference portion of the target object according to the image data; and   in response to determining that the detection image includes the image of the reference portion of the target object, determining which one region of the target object the detection image belongs to according to the reference portion.   
     
     
         20 . The examination method as claimed in  claim 19 , wherein the step of extracting the at least one feature of the image data comprises:
 in response to determining that the detection image belongs to the specific region of the target object, providing a region tag for the image data;   selecting at least one of a plurality of predetermined operations according to the content of the region tag; and   extracting the at least one feature of the image data according to the at least one predetermined operation which is selected.   
     
     
         21 . The examination method as claimed in  claim 15 , wherein the target object is an oral cavity. 
     
     
         22 . The examination method as claimed in  claim 15 , wherein the step of emitting the detection light source toward the target object comprises:
 emitting a light source having a specific wavelength, which serves as the detection light source, toward the target object.   
     
     
         23 . The examination method as claimed in  claim 15 , wherein the step of emitting the detection light source toward the target object comprises:
 selectively emitting a white-light source or a light source having a specific wavelength, which serves as the detection light source, toward the target object.   
     
     
         24 . The examination method as claimed in  claim 15 , wherein the step of extracting the at least one feature of the image data comprises:
 calculating an average intensity of a plurality of grayscale values of a plurality of pixels, a heterogeneity or homogeneity between the plurality of grayscale values, a contrast between the plurality of grayscale values, or a correlation between the plurality of grayscale values to serve as the at least one feature of the image data.   
     
     
         25 . The examination method as claimed in  claim 15 , further comprising:
 classifying the specific region as a first category or a second category according to the at least one feature of the image data, wherein the first category and the second category indicate an abnormal region and a normal region respectively.