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A semiautomatic method for digital feature separation uses a trained sample selected by an operator using a software "eye dropper" tool or a similar region-of-interest tool to sample features of interest on a stored digital image of, for example, an electronic component such as pads, bumps or leads

A semiautomatic method for digital feature separation uses a trained sample selected by an operator using a software "eye dropper" tool or a similar region-of-interest tool to sample features of interest on a stored digital image of, for example, an electronic component such as pads, bumps or leads of the component. Pixels from the sampled features are analyzed and plotted based on their color hue and saturation values or gray scale intensity values. The range of such values is chosen by a user. A second digital image is then compared to the sampled feature data gathered by the "eye dropper" tool. If the color and intensity values of the pixels from the second digital image fall within a user defined acceptable absolute value range, then the locations and values of those pixels in the image are saved. Background or surrounding elements in the second digital image which do not fall within the acceptable value range are deleted and replaced with a code that makes these background or surrounding element locations appear as a graphic transparency. This process leaves only the features of interest in their original locations saved in the graphics memory surrounded by pixels that have been made video transparent. The resulting saved image which contains only the selected features is then laid over a live image such as that of a target substrate with corresponding features of interest. The operator then manually aligns the saved features from the component image over the corresponding features of the live image of the substrate to achieve component to substrate registration.

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A semiautomatic method for digital feature separation uses a trained sample selected by an operator using a software "eye dropper" tool or a similar region-of-interest tool to sample features of interest on a stored digital image of, for example, an electronic component such as pads, bumps or leads

A semiautomatic method for digital feature separation uses a trained sample selected by an operator using a software "eye dropper" tool or a similar region-of-interest tool to sample features of interest on a stored digital image of, for example, an electronic component such as pads, bumps or leads of the component. Pixels from the sampled features are analyzed and plotted based on their color hue and saturation values or gray scale intensity values. The range of such values is chosen by a user. A second digital image is then compared to the sampled feature data gathered by the "eye dropper" tool. If the color and intensity values of the pixels from the second digital image fall within a user defined acceptable absolute value range, then the locations and values of those pixels in the image are saved. Background or surrounding elements in the second digital image which do not fall within the acceptable value range are deleted and replaced with a code that makes these background or surrounding element locations appear as a graphic transparency. This process leaves only the features of interest in their original locations saved in the graphics memory surrounded by pixels that have been made video transparent. The resulting saved image which contains only the selected features is then laid over a live image such as that of a target substrate with corresponding features of interest. The operator then manually aligns the saved features from the component image over the corresponding features of the live image of the substrate to achieve component to substrate registration. ition. 10. The invalid positioning device according to claim 9, wherein the support structure comprises a lifting arm and a sling hanger support angularly displaceable relative to the lifting arm about a vertical or substantially vertical axis, and the lifting element comprises a sling hanger; the sling hanger support being of generally U-shaped configuration and having two limbs, and the sling hanger including a generally U-shaped part having two limbs which are pivotally connected to lower ends of the two limbs of the sling hanger support, respectively, by which said main horizontal axis is defined, the sling hanger presenting two spaced sling attachment points on one side of the main horizontal axis, and at least one sling attachment point on the other side of the main horizontal axis for connection of a first pair of sling attachments to one side of the main horizontal axis and for connection of a second pair of sling attachments to the opposite side of the horizontal axis. 11. The invalid positioning device according to claim 10, wherein the actuator is a linear actuator. 12. An invalid positioning device according to claim 11, wherein one end of the linear actuator is supported for pivotable movement relative to the support structure, and the other end is supported for pivotable movement relative to a third part of the lever. 13. An invalid positioning device according to claim 12, wherein said one end of the linear actuator is supported for pivotable movement by the sling hanger support.