Modelling 3D camera movement for vibration characterisation and multiple object identification with application to lighting assessment

Multiple Luminaire Identification in Airborne Images of Airport's Approach Lighting Using Mathematical Morphology With Variable Length Structuring Element

“…Thus, can only be used to measure distance between two objects which appear horizontally or almost horizontally in the image. Using (12), changes in the pixel distance for changes in rows between two objects that are separated by a unit distance can be written as (13) Also in the image plane, the measure of unit distance changes along the rows following . Thus for two objects that are separated vertically, the distance can be formulated as (14) Thus, is a quadratic function of row .…”

“…Morphological closing [21], [53] on an image which is a binary image with structuring element results in a single structure (Fig. 8(a)) with all the luminaires [13]. This image will later be referred to as .…”

“…8(b). This image will be known as for the next stages [13]. (16) 5) Deflection Angle Calculation: A thinning algorithm [54] is applied to the remaining objects after binary morphology opening (Fig.…”

“…The major skew corrected image , morphologically closed composite structure image and morphologically opened image are then rotated with the angle to get the , and which are fully skew corrected and all the crossbars become horizontally aligned [13]. The error associated with formation of the thinned lines are less than 1 pixel.…”

“…It needs several steps to identify each luminaire inside the localized components, which may represent several luminaires clubbed together. From the localized luminaire data, a basic concept for prediction of the VLSE to be used in an image is given in [13]. The current research paper extends that concept in several ways.…”