Screen Holdings Co., Ltd.

Dainippon Screen Mfg. Co., Ltd.

Dainippon Screen Manufacturing Co., Ltd.

Kazutaka Taniguchi

Hiroki Fujimoto

Takashi Sakamoto

Atsushi Imamura

Ryo Yamada

Nobuaki Usui

Mikio Masuichi

Yoshiyuki Nakazawa

Kenji Nakanishi

Akihiro Nomura

Tomoyuki Komura

Makoto Narazaki

Masafumi Kawagoe

Yoshio Furuya

Kunio Ueta

Taigo Nakajima

Ryosuke Ito

A technology capable of effectively and stably correcting brightness unevenness in an image obtained by imaging is provided. An image processing method includes an image obtaining step of obtaining an original image obtained by imaging an imaging object together with a substantially uniform background, an approximation step of specifying an approximation formula for approximating a two-dimensional luminance profile of the original image to a probability density function of a two-dimensional normal distribution, and a correction step of correcting a luminance value of each pixel constituting the original image on the basis of a luminance value of the two-dimensional luminance profile expressed by the approximation formula.

Image processing method and shading reference data generation method

A carrier and a substrate are aligned even if an imager cannot be simultaneously focused on alignment marks formed on both the carrier and the substrate. Center of gravity positions Gof an alignment pattern element APon a substrate and Gof an alignment pattern element APon a transparent blanket are calculated by image processing from an image IM imaged via the blanket by a CCD camera. The position of the center of gravity Gmis specified by a process associated with edge extraction from the image imaged with the alignment pattern element APon the blanket being in focus. High spatial frequency components are removed and low frequency components are extracted for the alignment pattern element APon the substrate imaged out of focus to have a blurred outline, and the position of the center of gravity Gis specified from an extraction result.

Alignment method, transfer method and transfer apparatus

A substrate inspection apparatus for detecting a condition of an EBR line at a substrate edge, comprising a turntable for rotating a substrate having a film coated thereon, a light irradiator and a photoelectric converter that receives specularly reflected light from the substrate and outputs a captured image signal. A two-dimensional image is generated by adding detection values of electrical signals corresponding to one radial scan from a center of the substrate for one turn of a rotator, and a changing point is judged using a judgment band set along one direction of the two-dimensional image.

Substrate inspection apparatus and substrate inspection method

A drawing device draws a pattern on a substrate by radiating light from an optical head part on a target object (for example, substrate) which relatively moves with respect to the optical head part. Here, the optical head part has a spatial modulating unit which spatially modulates light from a light source, based on pattern data, and an optical path corrector which shifts the route of light spatially modulated in the spatial modulating unit at precision subdivided more than units of spatial modulation in the spatial modulating unit (more specifically, for example, units of pixels of spatial light modulator).

Drawing device and drawing method

A CPU assumes a virtual color monitor in which actual chromaticity coordinates of colors expressed by fluorescent materials are replaced by virtual chromaticity coordinates having the same hues as those of the actual chromaticity coordinates but higher saturations than those of the actual chromaticity coordinates. The CPU converts colorimetric values X, Y, and Z into luminance-linear values r&prime;, g&prime;, and b&prime; for red, green, and blue, based on a relationship of color conversion for the virtual color monitor at step S . The CPU then sets any one of the values r&prime;, g&prime;, and b&prime; to L at step S and compares the value L with i at step S , where i is the &ggr;-th power of j and greater than 0. In case that the value L is less than i, the CPU calculates a value c based on the remaining values other than the value L among the values r&prime;, g&prime;, and b&prime; at step S . When &minus;ck&lE;L<0, conversion of the value L into V is carried out according to a linear function of L, in which an L intercept is varied with a variation of the value c, at step S . In case that the value L is not less than i, on the other hand, the CPU carries out conversion of the value L into V according to a function of 1/&ggr;-th power of L at step S . At subsequent step S , the CPU sets the value V thus obtained to one of display signals R, G, and B corresponding to one of the values r&prime;, g&prime;, and b&prime; set at step S . This color conversion process effectively prevents abnormal tone or a change in hue in an area of a desired color that is out of a reproducible color range.

Method of color conversion, apparatus for the same, and computer program product for realizing the method

The method of the present invention first provides a plurality of representative color points existing on the surface of a gamut (s20), and sets a plurality of boundary lines that connect the plurality of representative color points substantially along the surface of the gamut (s22). The method subsequently defines a plurality of unit faces that are respectively surrounded by at least three boundary lines and arranged substantially along the surface of the gamut (s24), and sets a color plane to cross the gamut (s26). The method successively selects cross boundary lines that cross the color plane among the plurality of boundary lines, determines intersections of the cross boundary lines and the color plane, selects unit faces that cross the color plane based on the selected cross boundary lines, specifies cross lines of the selected unit faces and the color plane by connecting the intersections, and joins the cross lines to extract a contour of a cross plane area obtained by causing the color plane to cross the gamut (s28). This structure enables the contour of a cross plane area, which is obtained by causing a color plane to cross the gamut, to be accurately extracted even when the color plane is arranged at any arbitrary position and in any arbitrary orientation.

Method of and apparatus for extracting cross plane area of gamut and

There is provided a model where the illuminance of reflected light from the print is expressed with a linear combination of the illuminance of specular reflection light and that of internal reflection light. On the basis of the model, three methods are applicable to compute the colors of a print disposed in the three-dimensional space. In the first method, a specular reflection coefficient and an internal reflection coefficient, which are depending upon the wavelength, are interpolated by an angle of reflection .theta. and an angle of deviation .rho., and the illuminance spectrum of the reflected light is subsequently determined (step S2). Tristimulus values X, Y, and Z are then determined by integration of the illuminance spectrum according to the color matching functions (step S3). In the second method, the tristimulus values are determined for the specular reflection light, the internal reflection light, and the environmental light, respectively, and then interpolated by the reflection angle .theta. and the deviation angle .rho. (step S4). In the third method, the chromaticity coordinates are determined respectively for the specular reflection light, the internal reflection light, and the environmental light, and then interpolated by the reflection angle .theta. and the deviation angle .rho. (step S5).

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Kyoto, Japan

Kazutaka Taniguchi