The existing machine vision systems cannot efficiently detect white contaminants in cotton under the illumination of visible lights, because their color is the same or very close. To solve the problem, this article proposes an imaging method based on line lasers. Under the illumination of a line laser, the white contaminants and cotton showed the differences in the optical characteristic of their surface. Then, according to the features of the intensity of their reflected lights or the distribution of the fluff around their surfaces in the images, an example algorithm for identification of white contaminants from cotton was suggested. The experimental results indicated that, using our method, the mean successful detection rate of the typical white contaminants in cotton was over 87%.

Capital structure decisions are important to the company. The capital structure is a combination of debt and equity used by a company to finance its overall operation and growth. Nowadays a company with a simple capital structure can hardly survive with the development of the market and society. As a result, it is quite significant to deeply study the structures and thus give more support to the company's development. However, the questions we solved rarely consider the impacts of frictions and taxes. Based on the Modigliani and Miller theory(MM theory)and the concept of the weighted average cost of capital (WACC), we demonstrate the conclusion that the proportion of debt in a company's capital structure makes no difference to the value of the company. This paper aims to help companies make better decisions and investments by estimating risks, returns, and the impacts from different capital structures on companies as well as the calculations of cashflows.