Abstract: A device link profile adjustment method of a computer carrying out a process of adjusting a device link table in a device link profile expressing a correspondence relationship between a first coordinate value of a first device-dependent color space and a second coordinate value of a second device-dependent color space, the method including: accepting an adjustment target at an adjustment point, using a coordinate in a profile connection space as a reference; and adjusting the device link table based on the adjustment target and a color conversion table including a device-independent coordinate value of the profile connection space of an original profile used to create the device link table.

Abstract: Device-independent coordinate values at an adjustment point are converted into second coordinate values in accordance with a B2A table of an output profile, and the second coordinate values are converted into adjustment target PCS values, which are the device-independent coordinate values, in accordance with an A2B table of the output profile. When values obtained by adding relative values of an adjustment target using PCS coordinates as a reference, are assumed as target PCS values, in an optimization step, an optimization process is carried out to obtain an optimal solution of adjustment color values. The optimization process includes an element for bringing provisional PCS values, obtained by converting, in accordance with the A2B table, provisional color values obtained by adding adjustment color values to the adjustment target color values, closer to the target PCS values.

Abstract: A profile adjustment system adjusts a profile to be used for converting a coordinate value in a color space, based on an adjustment target at an adjustment point indicating a color to be adjusted. The profile adjustment system includes a coordinate receiving unit configured to display on a display unit an input field for coordinates of the adjustment point, and to receive an input of the coordinates of the adjustment point, and a color display processing unit configured to display on the display unit a color corresponding to the coordinates, the input of which has been received, in association with displaying of the coordinates.

Abstract: A profile adjustment method of adjusting a correspondent relation between coordinate values of an input color space and coordinate values of an output color space is a method including: storing history information indicating adjustment content of a first table defining the correspondent relation in a first profile at a private tag of the first profile; reading the history information from the private tag of the first profile; and using the read history information for at least one of readjustment of the first table and adjustment of a second table defining the correspondent relation in a second profile.

Abstract: A profile adjustment method is a method of causing a computer to adjust a profile to be used to convert first coordinate values of a first color space into second coordinate values of a second color space. The profile adjustment method includes: accepting one of two or more kinds of profiles as an adjustment target profile among an input profile defining a correspondent relation between the first coordinate values and third coordinate values of a profile connection space, an output profile defining a correspondent relation between the third coordinate values and the second coordinate values, and a link profile defining a correspondent relation between the first coordinate values and the second coordinate values; accepting an adjustment target at coordinates at which an adjustment target color is expressed; and adjusting the adjustment target profile based on the accepted adjustment target.

Abstract: A profile adjustment method includes: accepting first input profile as a first component, accepting at least one of a second input profile and a spot color as a second component combined with the output profile, accepting a first target of adjustment values when color conversion is executed according to the first component and the output profile, accepting a second target of adjustment values when color conversion is executed according to the second component and the output profile, and adjusting the output profile based on the first and second targets. A first output profile may be accepted as the first component combined with the input profile and a second output profile may be accepted as the second component combined with the input profile.

Abstract: A profile adjustment method is a method of adjusting a profile defining a correspondent relation between input coordinate values of an input color space and output coordinate values of an output color space. The profile adjustment method includes: accepting setting of a first adjustment point of first coordinates and a second adjustment point of second coordinates; setting a third adjustment point of third coordinates based on the first and second coordinates; generating third adjustment data indicating degree of adjustment at the third adjustment point based on first adjustment data indicating degree of adjustment at the first adjustment point and second adjustment data indicating degree of adjustment at the second adjustment point; and adjusting the profile based on the first adjustment data, the second adjustment data, and the third adjustment data.

Abstract: If an image reproducing apparatus has a device-dependent color space conversion function that converts the color space of target image data to a device-dependent color space using a particular color space, reproduction image data is generated (i) by carrying out basic color space conversion to image data for which the color space specified by identification information is the standard color space, and (ii) by carrying out device-dependent color space conversion to image data for which the specified color space is the particular color space. If the apparatus does not have the device-dependent color conversion function, (i) reproduction image data is generated by carrying out basic color space conversion to image data for which the specified color space is the standard color space, but (ii) a notification indicating that the specified color space is not the standard color space is output where the specified color space is the particular color space.

Abstract: A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

Abstract: A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

Abstract: A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

Abstract: A robot is made to recognize and manipulate different types of cable harnesses in an assembly line. This is achieved by using a stereo camera system to define a 3D cloud of a given cable harness. Pose information of specific parts of the cable harness are determined from the 3D point cloud, and the cable harness is then re-presented as a collection of primitive geometric shapes of known dimensions, whose positions and orientations follow the spatial position of the represented cable harness. The robot can then manipulate the cable harness by using the simplified representation as a reference.

Abstract: An electrophoretic display includes: a plurality of spatially divided cells; and plural types of color substances contained in each of the cells wherein a display color is controlled by controlling electrophoresis of the colored substances within the cells, wherein each of a first cell, a second cell and a third cell included in the plurality of cells includes a first color substance corresponding to a mutually differing one of three primary colors in additive color mixing or subtractive color mixing and a second color substance in a relationship of complementary colors with the first color substance, wherein the first cell is controlled to be in a display state by the first color substance, and the second and third cells are controlled to be in a display state by the second color substance, respectively.

Abstract: A discharge defect detecting device including a sensor that reads image, which has been formed on a medium by moving nozzles relative to the medium in a relative movement direction and discharging a fluid, at a reading resolution lower than the resolution of an image data in the relative movement direction, based on the image data; a standard data forming unit that forms a standard data having the same resolution as the reading resolution in the relative movement direction, based on the image data; and a detecting unit that compares a plurality of the reading data pixels on the same row in the relative movement direction in the data read by the sensor with a plurality of standard data pixels each corresponding to the plurality of the reading data pixels in the standard data, to detect the discharge defects of the nozzles.

Abstract: A printing method includes obtaining scene information concerning image data from supplemental data that is appended to the image data; classifying a scene of an image represented by the image data, based on the image data; comparing the classified scene with a scene indicated by the scene information; and printing a printout that is used to urge a user to make a continuation when a mismatch between the classified scene and the scene indicated by the scene information exists.

Abstract: The image processing apparatus executes a prescribed basic color space conversion regardless of content of the color space identification information when a reduced image is a processing target. The image processing apparatus executes a specified color space conversion utilizing a color space specified by the color space identification information when a main image is a processing target.

Abstract: In order to provide a digital camera which includes a heat dissipating device which can cool sufficiently a solid state image pick-up device and integrated circuits, which has a high rigidity and which affects little the design of the digital camera, there is provided a digital camera comprising a lens unit 15, a solid state image pick-up device 31 and integrated circuits 41, wherein a camera housing is made to have a double housing construction by an outer housing 11 which is formed of a member having a low thermal conductivity and an inner housing 61 which is formed of a member having a high rigidity and a high thermal conductivity, wherein a heat dissipating space is defined between the outer housing 11 and the inner housing 61, the integrated circuits 41 configuring a heat source and the inner housing 61 are connected together by a member having a high thermal conductivity, and wherein the inner housing 61 is made up of a main body side housing which is situated in the vicinity of the solid state image pi

Abstract: With a minimal process load, to determine level of the image of an image data file, for image data files of a format that saves images in the form of coefficients of discrete frequency components. Image data that includes a plurality of coefficients representing the pattern of change of color of the image are acquired (Step S10). Multiple sets of basic pattern data that respectively include a plurality of basic coefficients representing basic patterns of color change are prepared. Then, based on a comparison of the two, one set of selected basic pattern data is selected from among the multiple sets of basic pattern data (Step S20). Subsequently, the blur level of the image of the image data is calculated, based on the basic blur level associated with the selected basic pattern data (S30-S70).

Abstract: An image data analysis apparatus adapted to receive color image data having three components for every pixel, detect a color gamut as a range of colors the color image data represents in a predetermined color space, and determine a plurality of apexes defining the color gamut in the color space is disclosed. The image data analysis apparatus includes: a first apex determining unit that detects a minimum grayscale value as a smallest grayscale value among the three components with respect to the pixels included in the color image data, and determines a first apex, which defines the color gamut in the color space, based on the minimum grayscale value; a color image data converting unit that converts the color image data of each of the pixels having the three components into a coordinate point on a predetermined chromaticity plane.

Abstract: A CPU of a color printer performs gamma correction and a matrix operation M on an RGB color space image data derived by a matrix operation S. Using gamma correction value settings, the CPU performs gamma conversion of image data. Matrix operation M converts the RGB color space to an XYZ color space. When performing matrix operation M, the CPU refers to a PrintMatching tag and performs the matrix operation using a matrix (M) that corresponds to the indicated color space, in order to reflect the color space used for generation of image data.