HTML+CSS Implementation based on Image Intelligent Scene Recognition Algorithm

HTML+CSS implementation of the productive training smart online platform based on garden image intelligent scene recognition algorithm is studied in the paper. Mathematical morphology mainly studies the mathematical theory in space. Its mathematical description language is set theory. The most basic operations include expansion and corrosion, opening and closing. Through the general combined use of the above methods, the morphological structure of the image is obtained. Based on this theoretical background, a novel image intelligent scene recognition algorithm has been proposed. The level and its frequency are taken together as the data samples to be then clustered, and a fast FCM image clustering algorithm based on histogram weighting is constructed. Furthermore, to then implement the system, the HTML+CSS is considered. In order to solve the cross-terminal and adaptability of the web page layout, HTML5 technology provides a meta element called viewport and the novel CSS tool gives the better definition. Through the experimental analysis, the performance is then validated.