Dashboard Image Accentuation - InetSoft's dashboard image accentuation allows you to add highlights, hyperlinks, and other accents to static images. To add a highlight to an image element, right-click the image element, and select ‘Highlight’ from the context menu. This opens the ‘Highlight’ dialog box. To add colored tint to an image, follow the steps below: 1. Right-click the image, and select ‘Format’ from the context menu. This opens the ‘Format’ dialog box. 2. Select the Color tab. 3. In the ‘Text’ panel, select a color from the menu. 4. Click ‘OK’ to close the dialog box. The color you selected is now used to tint the image. In output components, hyperlinks can be attached to the component body (e.g., the entire gauge). To create hyperlinks on an output component, rightclick the component and select ‘Hyperlink’ from the context menu. This opens the ‘Hyperlink’ dialog box...
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Dashboard Image Properties - InetSoft's applications include an easy dashboard image properties setup that even novice users can master almost immediately. To scale an image, you need to enable image scaling, and then choose the method by which images should scale. Follow the steps below:
1. Right-click the Image component, and select ‘Properties’ from the context menu. This opens the ‘Image Properties’ dialog box. 2. Click the Advanced tab, and enable the ‘Scale Image’ option. 3. To keep image proportions constant during scaling, select ‘Maintain Aspect Ratio’. This allows the image to scale without distortion. 4. To selectively scale only parts of the image (e.g., the middle of the image), select ‘Scale (9-Cell Grid)’. Tip: For an image with a border, you may want to keep the border width constant as the image is scaled. To do this, set the pixel values slightly greater than the border thickness. 5. If you have selected ‘Scale (9-Cell Grid)’, enter the desired sizes of the ‘Top’, ‘Bottom’, ‘Left’, and ‘Right’ regions in pixels. 6. Click ‘OK’ to close the dialog box. The image will now be scaled in the specified manner when you adjust the Image boundaries...