Data processor, data processing method and storage medium

• US 9,819,860 B2
• Filed: 03/02/2016
• Issued: 11/14/2017
• Est. Priority Date: 03/09/2015
• Status: Active Grant

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation), Toshiba Digital Solutions Corporation (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Suzuki, Kaoru, Tonouchi, Yojiro
• Primary Examiner(s): Coleman, Stephen
• Application Number:
  US15/058,542
• Publication Number:
  US 20160269625A1
• Time in Patent Office: 622 Days
• Field of Search: None
• CPC Class Codes: G06V 30/153 using recognition of characters or words
• CPC Class Codes: G06V 30/158 using character size, text spacings or pitch estimation
• CPC Class Codes: H04N 23/63 by using electronic viewfinders
• CPC Class Codes: H04N 23/64 Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
• CPC Class Codes: H04N 23/6812 based on additional sensors, e.g. acceleration sensors
• CPC Class Codes: H04N 23/80 Camera processing pipelines; Components thereof

Abstract

According to one embodiment, a data processor includes an image acquisition module, a degradation evaluation module, a first output module and a display module. The first output module is configured to output a first trigger for performing a process for detecting the image area when the possibility is high as a result of evaluation by the degradation evaluation module, the first output module is configured to output a command for displaying the image as it is on a display when the possibility is low as a result of the evaluation.

Claims

1. A data processor comprising:

a degradation evaluation module implemented by one or more hardware processors and configured to evaluate whether a possibility that an image area which corresponds to a character is detected from an image is high based on a degree of degradation of the image;

a character row detection module implemented by one or more hardware processors and configured to perform a process for detecting the image area when the possibility is high as a result of evaluation by the degradation evaluation module; and

an output module configured to display the image without performing the process when the possibility is low as a result of the evaluation.

2. The data processor of claim 1, further comprising:

a density evaluation module configured to evaluate whether a possibility that a character row is detected from the image is high based on a density evaluation value indicating to what extent the detected predetermined number of image areas or more occupy a total area of the image, wherein

the character row detection module performs the process for detecting the character row when the possibility is high as a result of evaluation by the density evaluation module, and

the output module displays the image without performing the process when the possibility is low as a result of the evaluation by the density evaluation module.

3. The data processor of claim 1, wherein

the image areas which corresponds to characters are detected from the image when the process is continuously performed for a certain period.

4. The data processor of claim 1, further comprising a display configured to display the image.

5. The data processor of claim 1, wherein

the degradation evaluation module evaluates whether the degree of degradation of the image is less than or equal to a predetermined threshold, using a pose change amount which is measured at the time of capturing the image as the degree of degradation of the image, and

the character row detection module performs the process when the degree of degradation of the image is less than or equal to the threshold as a result of evaluation by the degradation evaluation module.

6. The data processor of claim 5, wherein

the character row detection module performs the process when the degree of degradation of the image is less than or equal to the threshold as a result of the evaluation by the degradation evaluation module, and further, when an imaging unit configured to capture the image comes into focus.

7. A data processing method comprising:

evaluating whether a possibility that an image area which corresponds to a character is detected from an image is high based on a degree of degradation of the image;

performing a process for detecting the image area when the possibility is high as a result of evaluation; and

displaying the image without performing the process when the possibility is low as a result of the evaluation.

8. The data processing method of claim 7, further comprising:

evaluating whether a possibility that a character row is detected from the image is high based on a density evaluation value indicating to what extent the detected predetermined number of image areas or more occupy a total area of the image, wherein

the performing includes performing the process for detecting the character row when the possibility is high as a result of evaluation, and

the displaying includes displaying the image without performing the process when the possibility is low as a result of the evaluation.

9. The data processing method of claim 7, wherein

the image areas which corresponds to characters are detected from the image when the process is continuously performed for a certain period.

10. The data processing method of claim 7, wherein

the evaluating includes evaluating whether the degree of degradation of the image is less than or equal to a predetermined threshold, using a pose change amount which is measured at the time of capturing the image as the degradation evaluation value, and

the performing includes performing the process when the degree of degradation of the image is less than or equal to the threshold as a result of evaluation.

11. The data processing method of claim 10, wherein

the performing includes performing the process when the degree of degradation of the image is less than or equal to the threshold, and further, when an imaging unit configured to capture the image comes into focus.

12. A non-transitory computer-readable storage medium storing instructions executed by a computer, wherein the instructions, when executed by the computer, cause the computer to perform:

evaluating whether a possibility that an image area which corresponds to a character is detected from an image is high based on a degree of degradation of the image;

performing a process for detecting the image area when the possibility is high as a result of evaluation; and

displaying the image without performing the process when the possibility is low as a result of the evaluation.

13. The storage medium of claim 12, further cause the computer to perform:

evaluating whether a possibility that a character row is detected from the image is high based on a density evaluation value indicating to what extent the detected predetermined number of image areas or more occupy a total area of the image, wherein

the performing includes performing the process for detecting the character row when the possibility is high as a result of evaluation, and

the displaying includes displaying the image without performing the process when the possibility is low as a result of the evaluation.

14. The storage medium of claim 12, wherein

the image areas which corresponds to characters are detected from the image when the process is continuously performed for a certain period.

15. The storage medium of claim 12, wherein

the evaluating includes evaluating whether the degree of degradation of the image is less than or equal to a predetermined threshold, using a pose change amount which is measured at the time of capturing the image as the degree of degradation of the image, and

the performing includes performing the process when the degree of degradation of the image is less than or equal to the threshold as a result of evaluation.

16. The storage medium of claim 15, wherein

the performing includes performing the process when the degree of degradation of the image is less than or equal to the threshold, and further, when an imaging unit configured to capture the image comes into focus.