A Fast Dynamic Range Compression with Local Contrast Preservation Algorithm for Low Dynamic Range Image Enhancement

[[abstract]]This paper presents a new fast dynamic range compression format with a local-contrast-preservation (FDRCLCP) algorithm to efficiently resolve low dynamic range (LDR) image enhancement problem for natural color images. The proposed FDRCLCP algorithm can combine with any continuously differentiable intensity transfer function to achieve LDR image enhancement. In combination with the FDRCLCP algorithm, a new intensity-transfer function that achieves satisfactory dynamic-range compression while preventing over enhancement in dark regions of the image is proposed. Experimental results validate that the proposed method provides better visual representation in comparison with two existing methods.[[sponsorship]]IEEE Hong Kong Section; IEEE Xi'an Section[[conferencetype]]國際[[conferencedate]]20120812~20120815[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]香

Multilevel Image Thresholding Based on an Extended Within-Class Variance Criterion

[[conferencetype]]國際[[conferencedate]]20140820~20140823[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]香

Nursing System

專利國別：美國United States Patent: 8,214,082Application number: 12/062,843國際分類號：G05B 19/04; A61B 5/00[[abstract]]A nursing system of the present invention can position where a person to be nursed through a sensor network widely deployed in an environment, instantaneously detect if the person to be nursed has an accident, and forward a message to inform a relative or medical staff. An autonomous robot will actively move beside the person to be nursed and transmit real-time images to a remote computer or PDA so that the relative or medical staff can swiftly ascertain the situation of the person to be nursed and the person to be nursed in case of emergency can be rescued as soon as possible.[[booktype]]電子

An Adaptive Dynamic Range Compression with Local Contrast Enhancement Algorithm for Color Image Enhancement

[[abstract]]This study addresses the design of an adaptive dynamic range compression algorithm for color image enhancement. To achieve this purpose, a novel image-dependent nonlinear intensity-transfer function is first proposed to produce a satisfactory dynamic-range compression result with less color artifacts. The proposed algorithm is then derived by combining the proposed adaptive nonlinear intensity-transfer function with an efficient local contrast enhancement algorithm. Experimental results validate that the proposed method provides better visual representation in comparison with an existing color image enhancement method.[[conferencetype]]國際[[conferencedate]]20121130~20121202[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Yunlin, Taiwa

An Image-Based Reactive Planning Method for Robot Manipulator Control

[[conferencetype]]國際[[conferencedate]]20120829~20120831[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

Method and Module for Regulating Luminance

專利國別：美國United States Patent: 8,194,103Application number: 12/469,697國際分類號：G09G 5/10[[abstract]]The invention relates to a method and a module for regulating luminance. In this method, a gray-level input signal is received and a power operation is performed on the gray-level input signal by a gamma parameter to obtain a first regulation scale. Then, the gray-level input signal is regulated according to the first regulation scale to obtain a gray-level output signal.[[booktype]]電子

Multi-robot cooperative sensing and localization

[[abstract]]This paper presents a novel method for mobile robot localization based on multi-robot cooperative sensing. A multi-robot cooperative localization scheme is proposed using visual detection and sensor data fusion. The visual detection system employs a stereo vision module for both observing other robots and obtaining environmental information. Each mobile robot is able to recognize its teammates by using the vision system. The localization error is reduced through the proposed sensor fusion algorithm. The cooperative localization algorithm consists of two stages: serial fusion and parallel fusion. Serial fusion aims to identify the positional uncertainty of an observed robot while parallel fusion reduces its positional error based on Kalman filtering. The multi-robot cooperative localization system has been realized through the server-client architecture. Experimental results are presented to validate the effectiveness of the proposed algorithms.[[sponsorship]]IEEE (Institute of Electrical and Electronics Engineers)[[conferencetype]]國際[[conferencedate]]20080901~20080903[[booktype]]電子版[[conferencelocation]]Qingdao, Chin

A Histogram-Based Multi-Threshold Searching Algorithm for Multiple Color Objects Segmentation

[[conferencetype]]國際[[conferencedate]]20120829~20120831[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

Method and Computer System for Regulating Color Saturation Degree

專利國別：美國United States Patent: 8,243,201Application number: 12/469,699國際分類號：H04N 9/68; H04N 5/21; H04N 9/65; H04N 9/70; G09G 5/02; H04N 5/57; G06K 9/40[[abstract]]The invention relates to a method and module for regulating saturation degree. In this method, a curvature of a special function in all position is regulated by a saturation parameter to obtain a regulated function. A color input signal is assigned as an independent variable of the regulated function to calculate a color output signal corresponding to the color input signal.[[booktype]]電子

Image Processing Device and Image Processing Method

專利國別：美國United States Patent: 8,223,232Application number: 12/721,033國際分類號：H04N 5/335[[abstract]]An image processing method includes the following steps. First, noise of a first image is filtered, and the first image is converted to obtain a luminance signal. Second, the first image is stored and outputted. Third, a color space converting process is performed upon the first image according to the luminance signal to obtain a second image. Fourth, a linear computing is performed upon the second image to obtain a third image. Fifth, the color space converting process is performed according to a third image and the luminance signal to obtain and output a fourth image. Sixth, an error compensation is performed upon the first image and the fourth image, and the fourth image is outputted. Accordingly, a linear operating process and error compensation processing is performed upon the single image to filter the noise of the image, and thus a load of the system is reduced.[[booktype]]電子