Image processing method, image processing apparatus
A processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device. The processor extracts a vertical stripe part extending along a sub scanning direction in the test image. Furthermore, the processor determines which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image.
1. An image processing method in which a processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device, the image processing method comprising:
the processor extracting a vertical stripe part extending along a sub scanning direction in the test image; and
the processor determining which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image, wherein
the processor sets a reference value or a reference range based on either or both of: pixel values of end portions of the target part in the main scanning direction; and pixel values of adjacent portions that are adjacent to the target part from opposite sides in the main scanning direction, and determines which of the cause candidates is the cause of the vertical stripe part, based on a number of parts that cross the reference value or the reference range in the pixel value sequence.
2. The image processing method according to claim 1 , wherein
the two types of cause candidates are: one or more developing portions provided in the image forming device; and an image reading device that reads an image from the output sheet.
3. The image processing method according to claim 1 , further comprising:
when the image forming device includes a plurality of developing portions corresponding to a plurality of developing colors, and the test image is a mixed-color test image that is a combination of a plurality of single-color halftone images corresponding to the plurality of developing colors,
the processor identifying a color vector that represents a vector in a color space from one of a color of the vertical stripe part in the mixed-color test image and a color of a reference area including a periphery of the vertical stripe part to the other; and
the processor determining, based on the color vector, which of the plurality of developing portions is the cause of the vertical stripe part.
4. An image processing method in which a processor determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device, the image processing method comprising:
the processor extracting a vertical stripe part extending along a sub scanning direction in the test image; and
the processor determining which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image, where
the processor extracting the vertical stripe part in the test image includes:
generating a first pre-process image by executing a first pre-process using a horizontal direction of the test image as a predetermined processing direction, the first pre-process including a main filter process in which a pixel value of each of focused pixels sequentially selected from the test image is converted to a conversion value that is obtained by performing a process to emphasize a difference between a pixel value of a focused area including the focused pixels and a pixel value of two adjacent areas that are adjacent to the focused area from opposite sides in the processing direction;
generating a second pre-process image by executing a second pre-process that includes the main filter process in which a vertical direction of the test image is used as the processing direction; and
extracting, as the vertical stripe part, a part that is present in the first pre-process image and is not common to the first pre-process image and the second pre-process image, from among specific parts which are each composed of one or more significant pixels and are present in the first pre-process image and the second pre-process image.
5. The image processing method according to claim 4 , wherein
the first pre-process includes:
generating first main map data by executing the main filter process using the horizontal direction as the processing direction;
generating horizontal edge strength map data by executing an edge emphasizing filter process on the focused area and a predetermined one of the two adjacent areas on the test image, using the horizontal direction as the processing direction; and
generating the first pre-process image by correcting each pixel value of the first main map data by each corresponding pixel value of the horizontal edge strength map data, and
the second pre-process includes:
generating second main map data by executing the main filter process using the vertical direction as the processing direction;
generating vertical edge strength map data by executing the edge emphasizing filter process on the focused area and one of the two adjacent areas on the test image, using the vertical direction as the processing direction; and
generating the second pre-process image by correcting each pixel value of the second main map data by each corresponding pixel value of the vertical edge strength map data.
6. An image processing apparatus comprising a processor that determines a cause of an image defect based on a test image that is obtained through an image reading process performed on an output sheet output from an image forming device, wherein
the processor extracts a vertical stripe part extending along a sub scanning direction in the test image;
the processor determines which of predetermined two types of cause candidates is a cause of the vertical stripe part, based on a distribution of a pixel value sequence along a main scanning direction that crosses the sub scanning direction, in a target part including the vertical stripe part in the test image; and
the processor sets a reference value or a reference range based on either or both of: pixel values of end portions of the target part in the main scanning direction; and pixel values of adjacent portions that are adjacent to the target part from opposite sides in the main scanning direction, and determines which of the cause candidates is the cause of the vertical stripe part, based on a number of parts that cross the reference value or the reference range in the pixel value sequence.