Pattern Recognition in Thought-Form Images Using Radon Transform and Histograms

Abstract

Nature and behavior of human beings are reflected in their Thought-forms which have been shown as inseparable part of human biofield. In scientific experiments so far, only detection and measurement of biophotons has been possible. Experiments have shown the emission of ultraweak biophotons in a spectrum of several colors. The challenges faced in capturing the image of ultraweak photons are today the topic of research for the development of a biophotonic camera. A literature survey on thought form images found a large number of true color images in Theosophical texts published a hundred years ago. Each image was attributed comments of 'Very Good, Good, Bad, or Very Bad, or mix of all' based on the three aspects of Color, Form (Shape), and Outline of the images but without any scientific proof. It was found that there is great deal of similarity of views of Theosophists and Biophysicists on the structural form of human beings. This provided the motivation to analyze the thought form images on the aspect of color using HSV (Hue Saturation Value) space in two recently reported papers. In this paper, the second aspect of shape, has been investigated using Radon Transform and Histograms on a sample of thirty one thought-form images out of several from Theosophical literature. Results show that all images, except one, were classified correctly in the four patterns when compared with the comments in the text.