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Dobel Tequila is one of the United States’ fastest growing ultra-premium tequilas. Named after its founder, (Dobel, abbreviated from Juan Domingo Beckmann Legoretta) the tequila is sourced from single estates and is distilled from 100% blue agave and bottled in Jalisco, Mexico. Each bottle of Dobel Tequila is double-distilled, matured in Hungarian White Oak barrels, and filtered for exceptional smoothness and clarity. Dobel Tequila is recognised for its superior smoothness and iconic packaging which includes a stopper and a modern twist on a vintage apothecary-style bottle, a heavily embossed bottle whose design is inspired by the laboratory sample bottles used by the distillery’s Maestro Tequileros (Master Distillers)

The images below illustrate the change in the direction of the gradient on a grayscale circle. When the sign of G x {\displaystyle \mathbf {G_{x}} } and G y {\displaystyle \mathbf {G_{y}} } are the same the gradient's angle is positive, and negative when different. In the example below the red and yellow colors on the edge of the circle indicate positive angles, and the blue and cyan colors indicate negative angles. The vertical edges on the left and right sides of the circle have an angle of 0 because there is no local change in G y {\displaystyle \mathbf {G_{y}} } . The horizontal edges at the top and bottom sides of the circle have angles of − π / 2 and π / 2 respectively because there is no local change in G x {\displaystyle \mathbf {G_{x}} } . The negative angle for top edge signifies the transition is from a bright to dark region, and the positive angle for the bottom edge signifies a transition from a dark to bright region. All other pixels are marked as black due to no local change in either G x {\displaystyle \mathbf {G_{x}} } or G y {\displaystyle \mathbf {G_{y}} } , and thus the angle is not defined. It should be noted that since the angle is a function of the ratio of G y {\displaystyle \mathbf {G_{y}} } to G x {\displaystyle \mathbf {G_{x}} } pixels with small rates of change can still have a large angle response. As a result noise can have a large angle response which is typically undesired. When using gradient angle information for image processing applications effort should be made to remove image noise to reduce this false response.

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