Automatic detection of Temples in Colour Images by using LBP

The automatic exposure of Temple in colour images is a difficult task due to a lack of samples to deduce the variations in colour digital picture testing. In the field of image processing, object recognition is a harsh but useful dilemma. This paper has presented a computer vision-based scheme for detecting temples to consider a lot of effort had been put in on animals, people, bikes, cars, and so on. As a result, we decide to focus on temple detection, which is based on a self-created dataset; there will be no testing of temple exposure in photos. The demonstration or contour of the multiplicity of buildings is indistinguishable, making image processing-based temple identification difficult. As a result, this research work proposes a novel approach to deal with the building structure on temple discovery in digital photographs by using Local Binary Pattern [LBP]. This paper includes a few landscapes that have a similar contour in digital images of temples, such as building classification. Even though equal shapes are initiated in building structures, the proposed work representing shape features is used to find a temple in photographs.