# Image Analysis and Processing for Generating Camouflages from Digital Earth Photographs
## 1 Introduction  
Image processing is a broad topic. Many types of objects can be represented as an image, for example, printed texts, digital Earth images, medical images, or handwriting, so the term \"pattern processing\" is more appropriate. The simplest definition of this concept boils down to the qualification or grouping of patterns based on their structure or content. Image processing involves image analysis and classification. Image analysis is the extraction of features based on the image, and image recognition (classification) is the assignment of the image to a class based on the extracted image features [1; 2; 3]. Camouflage in nature has been around for a long time; animals do not want to be detected by predators, and predators do not want to be detected by their prey. In humans, the art of camouflage was developed when hunters wanted to move as close as close as possible to their victim without being detected in order to increase their chances of a successful hunt. The history of military camouflage, or camouflage used by the military, began during World War I when, along with the development of technology on the battlefield, the military noticed that colored uniforms did not help soldiers to survive during skirmishes that took place at distances of 300 m [4; 5; 6]. The lessons learned from experience from battles of that period showed the effectiveness and necessity of camouflage, and outlined further developments in the field of camouflage. Subsequent conflicts and advances in technology led to research on the most effective camouflages. With the development technologies that effectively supplement human vision, such as thermal imaging, the need for camouflage continues and is veryimportant to the military. Camouflage not only helps to hide the target, its role is also to build an image of the army as a professional, well-prepared, but also elite, group. Camouflage is also present on the civilian market, for which the camouflages are used by hunters, military enthusiasts, organizers of various types of survival events, clothing designers, and computer game developers. They can design their own camouflages or choose from already developed and available camouflages--military or civilian. In this way, they can quickly and easily achieve what they need by adapting the available camouflage to specific needs. There are few companies on the market that offer the possibility of designing one's own camouflage, and their offer is addressed mainly to hunters. There are some private camouflage projects on the Internet, but they have their disadvantages, which will be described later in this paper. Therefore, there is a lack of solutions on the market, which gives us the possibility to, in an easy and fast way, analyze the digital Earth images given by the user to allow him generate the appropriate camouflage. The generation of camouflages from the digital Earth images is an example of image analysis and processing [3; 7]. This paper analyzes the current state-of-the-art in the aspects of existing camouflage generators along with determining the advantages and disadvantages of their solutions, and then the development of camouflage generation algorithm and creation of an application that allows the user to generate the camouflages while offering support in color selection. Moreover, the results of the generator were compared with other camouflages available on the market as well as those generated by online generators. The main contributions of the paper are as follows:  
1. Analysis of currently existing camouflage generators with their advantages and disadvantages. 2. Development of algorithms for generating the digital camouflage and the creation of an application that will allow the user to generate camouflage based on digital Earth images while offering support in the selection of colors. 3. Comparison of results in camouflages generation of available software tools and created solution by:
4.