Description of Objects in Images of an Internet Search Engine by Topological Attributes

Mexico is a country rich in customs, traditions, languages, culture, roots, etc. (Tejada Z et al, 2011). One of his great wealth is the diversity of craft objects in images found on the internet. The traditional search is performed via text in the internet (Alejandro P, 2005); which is a problem if we do not know the name of the object and only have a picture of it. This paper presents the way in which objects are located within an image of a website; this requires digital signal processing image (Pajares P et al, 2004). Image search has diverse applications ranging from therapeutic purposes (Siri L et al,2000); through those that are designed to support disabled people based on their emotions (Fonseca D et al,2008);; and finally we cannot forget those with scientific or educational purposes (Aranda M.C et al, 2008). Hence the importance of the research conducted; especially considering the cultural wealth of nations. Although, the project only focuses on basic objects and Mexican roots can be applied to any region in the world. Visual descriptors representing visual features of images arranged in content (Manjunath B.S. et al, 2002). The description is automatically generated by digital image processing. Form: It has so important semantic information that can only be extracted by segmentation similar to that performed by the human visual system (Marcos M, 2014). Topological attributes are invariant properties of the deformations of objects (Garcia O, 2011). It is for this reason that we propose these techniques because it avoids taking into consideration the size and rotation of objects to look at the pictures. It also uses the Fourier transform.