Camouflaged object detection for machine vision applications

Camouflage image means the objects in foreground mingled with background in this context one prime area in machine vision application is identifying camouflaged objects in image for military and civilian needs. This paper proposes camouflage detection to identify one or more target objects in Camouflaged Images. In this work, a constructive approach presented by characterizing entity-texture and statistical modeling of Camouflaged Images in texture smoothing conditions. The Difficulties in this process are Images of different kinds, Atmospheric Turbulence, and Target Size. There are many potential applications where the needs of decamouflaging like: distinguishing original and duplicate in product production, military applications and autonomous systems where detection of objects in Camouflage images is essential. The implementation is carried out in different environments on camouflaged Images. The performance of the proposed technique is compared with existing methods using precision and recall.