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US 8,558,854 B2Granted
Image recognition method, image recognition apparatus and image input/output apparatus
AssigneeJapan Display West Inc.
InventorsKazunori Yamaguchi, Michiru Senda, Mitsuru Tateuchi, Tsutomu Harada, Ryoichi Tsuzaki
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Abstract
An image recognition method includes: a first step of acquiring n-th received light data at light receiving elements arranged in a matrix form on a light receiving surface; a second step of acquiring (n+1)-th received light data at the light receiving elements; a third step of calculating differential data resulting from subtraction of the n-th received light data acquired from the (n+1)-th received light data acquired; and a fourth step of carrying out image recognition based on the differential data.
Claims12
An image recognition method comprising:
- a first step of acquiring n-th received light data at light receiving elements arranged in a matrix form on a light receiving surface;
- a second step of acquiring (n+1)-th received light data at the light receiving elements;
- a third step of calculating differential data resulting from subtraction of the n-th received light data acquired from the (n+1)-th received light data acquired;
- and
- a fourth step of carrying out image recognition based on the differential data, wherein a peak value and a bottom value occur in the differential data and the carrying out of the image recognition comprises one of:
- setting as image information for the peak value a first binary value when the peak value is greater than a threshold value and setting as image information for the peak value a second binary value when the peak value is less than the threshold value, and
- setting as image information for the bottom value a first binary value when the bottom value is less than the threshold value and setting as image information for the bottom value a second binary value when the bottom value is greater than the threshold value;
- and
- wherein, the threshold value is adjusted by an amount that is based on a distance between a location corresponding to the peak value and a location corresponding to the bottom value.
6 more elements
An image recognition method comprising:
- a first step of acquiring n-th received light data at light receiving elements arranged in a matrix form on a light receiving surface;
- a second step of acquiring (n+1)-th received light data at the light receiving elements;
- a third step of calculating differential data resulting from subtraction of the n-th received light data acquired from the (n+1)-th received light data acquired;
- and
- a fourth step of carrying out image recognition based on the differential data, wherein a peak value and a bottom value occur in the differential data and carrying out the image recognition comprises amplifying the values of the differential data by amounts based on a distance between a location corresponding to the peak value and a location corresponding to the bottom value, and one of:
- outputting as image information a first binary value for the peak value when the peak value as amplified is greater than a threshold value and outputting as image information a second binary value for a peak value when the peak value as amplified is less than the threshold value, and
- outputting as image information a first binary value for the bottom value when the bottom value as amplified is less than the threshold value and outputting as image information a second binary value for a bottom value when the bottom value as amplified is greater than the threshold value.
4 more elements
An image recognition method comprising:
- acquiring i-th received light data at light receiving elements arranged in a matrix form on a light receiving surface;
- acquiring (i+1)-th received light data at the light receiving elements;
- acquiring (i+2)-th received light data at the light receiving elements;
- acquiring (i+3)-th received light data at the light receiving elements;
- calculating n-th differential data resulting from subtraction of the acquired i-th received light data from the acquired (i+1)-th received light data;
- calculating (n+1)-th differential data resulting from subtraction of the acquired (i+2)-th received light data from the acquired (i+3)-th received light data;
- calculating combined differential data resulting from subtraction of the n-th differential data from the (n+1)-th differential data;
- carrying out image recognition based on the combined differential data, wherein a peak value and a bottom value occur in the combined differential data, and the carrying out of the image recognition comprises one of:
- setting as image information for the peak value a first binary value when the peak value is greater than the threshold value and setting as image information for the peak value a second binary value when the peak value is less than the threshold value, and
- setting as image information for the bottom value a first binary value when the bottom value is less than the threshold value and setting as image information for the bottom value a second binary value when the (i+1)-th bottom value is greater than the threshold value;
- and
- wherein, the threshold value is adjusted by an amount that is based on a distance between a location corresponding to the peak value and a location corresponding to the bottom value, and
- wherein the light receiving surface also functions as a display surface and the i-th received light data and the (i+2)-th received light data are acquired in i-th and (i+2)-th periods, respectively, during which light is emitted from the light receiving surface and the (i+1)-th received light data and the (i+3)-th received light data are acquired in (i+1)-th and (i+3)-th periods, respectively, during which light is not emitted from the light receiving surface, the i-th, (i+1)-th, (i+2)-th, and (i+3)-th periods occurring consecutively in that order.
10 more elements
An image recognition apparatus comprising:
- a light receiving surface where light receiving elements are arranged in a matrix form;
- a drive section that repeatedly executes acquisition of received light data at the light receiving elements;
- and
- an image processing section configured to:
- calculate differential data resulting from subtraction of acquired n-th received light data from acquired (n+1)-th received light data;
- and
- carry out image recognition based on the differential data,
- wherein a peak value and a first bottom value occur in the differential data,
- wherein the image processing section carries out the image recognition by one of:
- setting as image information for the peak value a first binary value when the peak value is greater than a threshold value and setting as image information for the peak value a second binary value when the peak value is less than the threshold value, and
- setting as image information for the bottom value a first binary value when the bottom value is less than the threshold value and setting as image information for the bottom value a second binary value when the bottom value is greater than the threshold value;
- and
- wherein, the image processing section adjusts the threshold value by an amount that is based on a distance between a location corresponding to the peak value and a location corresponding to the bottom value.
10 more elements
Dependencies are inferred from the claim text.