Abstract：Color-Depth-based book segmentation in library scenario for service robots This work presents scenario oriented Color-Depth integration framework for the purpose of robust object segmentation in a real workplace scenarioThe workplace is the Library of Bremen University and the objects to be grasped are books located on a shelfThe proposed framework is responsible for segmenting the book to be grasped and extract the features needed for a successful grasping operationThe proposed ColorDepth integration utilizes both disparity image and color image in the segmentation processIt segments at first the book to be grasped from the disparity imageHoweverdue to the lowtextured scenethe corresponding disparity image has a poor quality which in turn reduces the accuracy of the segmented regionThe proposed integration framework increases the segmentation accuracy by utilizing the disparity segmented region in defining a region of interestROIin the color image and then extracts the exact boundary of the book based on colorThe developed Color-Depth integration does not only deliver high accuracy grasping featuresbut ensures a less straining operation of the robot by the End-user as wellLibrary AutomationThe article describes the technology of automatically capturing books in the library environmentwhich is a category of library automationRoboticsRoboticsThe article refers to the scene of the books on the bookshelves in the bookshelf in the actual workplaceThis crawling movement requires a certain amount of automation and the operation of the machine armwhich is the application of robotic technologyPattern recognitionThe article describes the framework that uses color and deep integration to distinguish between objectsThis involves segmentation and recognition of the objects in the imagehere is a bookwhich belongs to the category of mode recognition