Texture is a visual feature, however the question is how to alter the texture of a photograph. You may have noticed a picture, which looked nice. Then after you zoomed in, you see a huge blurry mess, or black region in which there was definitely supposed to be something. So, how do I alter the feel of a photograph to make it look just like what I found?
Let’s begin with a definition:”periodicity” is a property that suggests repeatable, repeating patterns, or recurring geometric arrangement. Periodicity may also mean the existence of repeating values. Any item has a certain periodicity, since it consists of different components. Let’s use our cloth texture example, to show the effects of periodicity. First, we apply the warp procedure, then we apply the backpropagation algorithm to get flat, even, sharp pictures of our original photo, and calculate its periodicity using the Backpropagation algorithm.
We apply the feather method, taking each feather of our textile texture for a value representing a point in our picture. The feather function requires a point in the visual inspection (x, y) coordinate system and also generates a point (w/ h) in the horizontal (x”, y”) coordinate system. We then combine all the points that lie along the x”,y’ axis by applying the cosine function . This creates a smooth curve in our photograph, which we interpret as a visual wave form.
One last method of changing the texture of a cloth feel is to perform some complex segmentation and detection methods, like ray tracing, deep processing, or image motion processing. All these processes can be applied together in one software. In the event of ray tracing, the image processing software enables the production of beams of varying widths and lengths, that are captured by the camera. The resulting image is then processed with the proper software. Deep processing techniques such as image motion processing empower us to detect subtle changes in the visual waveform of this left picture over time, for instance, by superimposing the original image along with the corrected image on a new framework.
Image retrieval systems typically combine preprocessing techniques with advanced image retrieval capabilities. A number of the more common methods include optical image retrieval, electronic image retrieval, and hybrid wavelet/digital image recovery. Optical image recovery employs the understanding of the viewing angle and position of a spectacle on the topic being analyzed. Digital image retrieval uses on-chip digital cameras and superimpose picture sequences onto digital frames, which are then examined by the computer.
These three methods jointly enable you to produce high quality visual artifacts, which will greatly enhance the level of your fabrics. We’ve discussed several ways to increase texture periodicity. Additionally, there are other ways like controlling, posing, or presenting partitioning procedures. Within the next portion of the textile topic, we will discuss a few examples of textile processing technologies that you can use in the context of textile grade control.