초록 ▼

An optical fiber includes a core doped with a preselected gain material, an inner cladding disposed about the core, an outer cladding, disposed about the inner cladding, that has a section removed to expose a portion of the inner cladding, a notch disposed in the exposed portion of the inner claddin

An optical fiber includes a core doped with a preselected gain material, an inner cladding disposed about the core, an outer cladding, disposed about the inner cladding, that has a section removed to expose a portion of the inner cladding, a notch disposed in the exposed portion of the inner cladding, and a mirror disposed within the notch that includes a high reflectivity surface oriented so as to reflect light launched into the mirror from an outside source into the fiber. The mirror, e.g. a right-angle trihedron, has a high reflectivity (HR) coating on one face, is inserted into the notch, and affixed thereto with an adhesive such as an optical cement. Pump light, e.g. from a laser diode, is launched through a face of the mirror that is antireflection (AR) coated or sufficiently transparent to the light frequency, and after reflecting off the HR face exits through a third face and into the fiber. The pump light source can typically be positioned in close proximity to the AR face of the mirror since there are no intervening optics or other hardware required in a typical system design.

대표청구항 ▼

An optical fiber includes a core doped with a preselected gain material, an inner cladding disposed about the core, an outer cladding, disposed about the inner cladding, that has a section removed to expose a portion of the inner cladding, a notch disposed in the exposed portion of the inner claddin

An optical fiber includes a core doped with a preselected gain material, an inner cladding disposed about the core, an outer cladding, disposed about the inner cladding, that has a section removed to expose a portion of the inner cladding, a notch disposed in the exposed portion of the inner cladding, and a mirror disposed within the notch that includes a high reflectivity surface oriented so as to reflect light launched into the mirror from an outside source into the fiber. The mirror, e.g. a right-angle trihedron, has a high reflectivity (HR) coating on one face, is inserted into the notch, and affixed thereto with an adhesive such as an optical cement. Pump light, e.g. from a laser diode, is launched through a face of the mirror that is antireflection (AR) coated or sufficiently transparent to the light frequency, and after reflecting off the HR face exits through a third face and into the fiber. The pump light source can typically be positioned in close proximity to the AR face of the mirror since there are no intervening optics or other hardware required in a typical system design. components, said first color component comprising that color component having the highest intensity level. 7. A method for extracting text as defined in claim 6, and further including the intermediate steps of: (j) determining the number of color plane intensities for each of said color components; (k) arranging said color plane intensities for said color components in descending order; and (l) determining a representative sampling number of said color plane intensities for transmittal to said scanning means. is-aligned bounding boxes. 10. The method according to claim 9, comprising: measuring if similarity is less than a desired amount then determining the rectangular image fitting to be a good match. 11. The method according to claim 9, comprising: measuring if the similarity is greater than a desired amount then determining the rectangular image fitting not to be a good match. 12. The method according to claim 9, comprising: determining the longest bin, estimating a rotation angle being the slope of the longest bin, calculating the axis-aligned bounding box of the rotated boundary points, and calculating a similarity measure of the longest bin. 13. The method according claim 9, comprising determining the longest bin, estimating a rotation angle of said longest bin, rotating the points on the boundaries by said rotation angle, calculating the bounding box of the rotated points, and unrotating the coordinates of the bounding box by a negative rotation angle. 14. The method according claim 13, further comprising eliminating boundaries that have an aspect ration more than 15:1, or height and width less than 5 pixels. 15. A method for processing a digital image comprising the steps of: receiving a digitized image of a plurality of representations of objects; processing said digitized image into a plurality of images representing said digitized image wherein said processing step includes generating a plurality of bins wherein said bins have a plurality of edge points making up the boundaries of each of said plurality of images of said digitized image; and, reducing the plurality of edge points of each bin by dividing a set of edge points of a particular bin by a factor of N. 16. The method according to claim 15, comprising: wherein said processing step including estimating an angle of a line passing through each of said edge points. 17. The method according to claim 16, comprising: said estimating step is performed either by using standard linear regressions for generating lines from said edge points of each bin in a horizontal direction, or using an inverted linear regression for generating lines from said edge points of each bin in a vertical direction. 18. The method according to claim 17, further comprising the step of: grouping the set of generated lines of each bin that approximate similar characteristics. 19. The method according to claim 1, further comprising the step of: removing lines generated by bins that are less that a minimum number of points. 20. The method according to claim 1, further comprising the step of: joining adjacent bins having collinear lines into one bin. 21. The method according to claim 1, further comprising: wherein the step of joining said bins includes determining whether the midpoints of adjacent bins are approximately collinear. 22. The method according to claim 1, further comprising: calculating the intersection between each bin. 23. A method for processing a digital image using an imaging input device reducing bleeding of the edges of the detected images by determining edge contours to generate bounding boxes comprising: identifying bins on said edge contours having edges that approximate 90 degrees; and, modeling a rectangular image for each of the identified bins, said modeling step further comprising: estimating a rotation angle of a rectangle as the slope of right angles; rotating all points of a boundary by said rotation angle; calculating the bounding box of the rotated boundary points; calculating a similarity measure by counting the number of boundary points; and, unrotating the corner coordinates of the bounding box. 24. The method according to claim 23, comprising: measuring if similarity is less than a desired amount then determining the rectangular fit to be a good match. 25. The method according to claim 24, comprising: measuring if the similarity is greater than a desired amount then de