Dinosaurs and other extinct animals are a part of our past, and by studying and analysing them, one may gain a clear understanding of what the planet was like millions of years ago. Even if the majority of them are extinct, palaeontology study may be done on their fossils or remnants. The importance of palaeontology to the modern and future worlds cannot be overstated. One may discover how creatures changed the physical world, as well as how climate change affected earlier species. It is also possible to better understand the concepts of extinction, evolution, and biodiversity. Scientists are hopeful that the environment will hold onto many dinosaur fossils and preserve and make pictures of them available. Applications for image segmentation in this field can be useful to palaeontologists. Applications in this area of picture segmentation might be useful to palaeontologists. This instrument may be used to determine the number of bones present in a sample and to learn the geometrical details of each section. In this research, image processing methods and various bio-inspired or metaheuristic algorithms are applied to pictures of dinosaur fossils. In order to filter additives depending on a range of parameters, the histogram equalization approach is utilized as a pre-processing stage. The contrast is altered using the Evolution Strategy histogram equalization. The input picture is quantized using the cultural method as well. The edge identification approach benefits from simulated annealing to effectively separate each piece. The first step consists of Particle Swarm Optimization in conjunction. An picture that has been segmented effectively.