Image processing method and apparatus for detecting characteristic points
AssigneeMinolta Co., Ltd.
InventorAtsushi Ishikawa
Life of this patent
Estimating the term…
Abstract
An image processing method and device includes the steps of detecting a crossing point that has a largest density value among pixels aligned in one direction and a smallest density value among pixels aligned in another direction, the directions being perpendicular to each other; determining a dot area of an image based on a detection of crossing points; and switching image data processing methods based on a result of a determination of a dot area.
Claims26
An image processing apparatus, comprising:
- a dot characteristic point detector for detecting a crossing point that has a largest density value among pixels aligned in one direction and a smallest density value among pixels aligned in another direction, said directions being perpendicular to each other;
- an attribute determinor for determining a dot area of an image based on a detection result of the dot characteristic point detecting means;
- and
- a switch that switches image data processing methods based on a result of a determination by the attribute determinor.
An image processing apparatus, comprising:
- a dot characteristic point detector for detecting crossing points as dot characteristic points;
- a dot characteristic point counter for counting a number of dot characteristic points detected by the dot characteristic point detector, and which exist in a prescribed area including a target pixel;
- an attribute determinor for determining whether or not the target pixel belongs to a dot area by comparing a result of counting by the dot characteristic point counter with a prescribed threshold value;
- and
- a switch for switching image data processing methods based on a determination of the attribute determinor.
An image processing apparatus, comprising:
- a dot characteristic point detector for detecting a target pixel that has a largest density value among a plurality of pixels that are aligned on a continuous basis in a first direction and has a smallest density value among a plurality of pixels that are aligned on a continuous basis in a second direction;
- an attribute determinor for determining a dot area in the image based on a result of detection by the dot characteristic point detector;
- and
- a switch for switching image data processing methods based on a result of determination by the attribute determinor.
An image processing method, comprising:
- detecting a crossing point that has a largest density value among pixels aligned in one direction and a smallest density value among pixels aligned in another direction, said directions being perpendicular to each other;
- determining a dot area of an image based on a detection of crossing points;
- and
- switching image data processing methods based on a result of a determination of a dot area.
An image processing method, comprising:
- identifying crossing points as dot characteristic points;
- counting a number of identified dot characteristic points which exist in a prescribed area including a target pixel;
- determining whether or not the target pixel belongs to a dot area by comparing the number of identified dot characteristic points with a prescribed threshold value;
- and
- switching image data processing methods based on whether the target pixel belongs to a dot area.
An image processing method, comprising:
- detecting a target pixel that has a largest density value among a plurality of pixels that are aligned on a continuous basis in a first direction and has a smallest density value among a plurality of pixels that are aligned on a continuous basis in a second direction;
- determining a dot area in the image based on a result of the detecting step;
- and
- switching image data processing methods based on a result of the determinating step.
Dependencies are inferred from the claim text.