The problems of low-contrast, blurred images, and low-edge details are encountered in infrared images. These undesirable features affect infrared imaging applications in military, science, medicine, and other fields. Therefore, a method of edge detection based on heat conduction matrix (HCM) has been proposed to show or sharpen the edges of objects in infrared images. First, the heat conduction formula of solid and still fluids was applied on the infrared image, and a feature matrix called HCM was obtained. Second, the HCM feature matrix was passed through a threshold to obtain distinct and noise-free edge images. The results of the numerical and visual applications were compared with the Sobel, Canny, and Laplacian of Gaussian methods. The results of our study showed that the proposed method is powerful in detecting edges in infrared images. The most important feature of the method is its high emphasis on important edges as well as thin and distinct edges.
Providing microclimate conditions in greenhouse systems is very important in terms of growing desired products. In addition, remote sensing and data analysis processes need to be developed and expanded to perform fast and perfect monitoring and control in these systems. An application of remote sensing with infrared imaging in greenhouse systems has been developed. It is proposed to obtain the mean temperature inside the greenhouse via infrared images, the air relative humidity with psychrometric chart application, and the soil moisture values with the multiple regression analysis method. The control and monitoring of automatic irrigation, heating, humectation, ventilation, and lighting systems were carried out via the MATLAB–GUI interface. The desired conditions for the carnation plant were ensured in the greenhouse, and 24-h data were obtained. The digital and visual application findings showed that the designed system is more advantageous in terms of ease of use, monitoring, and simultaneous recording compared with the traditional sensor control systems.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.