ROI Based Post Image Quality Assessment Technique on Multiple Localized Filtering Method on Kinect Sensor

摘要

Region of Interest (ROI) Image Quality Assessment is an image quality assessment model based on Structural Similarity Index (SSI) used in the specific designated image region to be assessed. The output assessment value used by this image assessment model is 1 which means identical and -1 which means not identical. The assessment model of ROI Quality Assessment in this research is used to measure image quality on Kinect sensor capture result used in Mobile HD Robot after applying Multiple Localized Filtering Technique. The filter is applied to each capture sensor depth result on Kinect, aiming to eliminate structural noise which occurs in the Kinect sensor. Assessment is done by comparing the image quality before and after filter applied to certain regions. The Kinect sensor will be conditioned to capture a square black object measuring 10cm × 10cm perpendicular to a homogeneous background (white with RGB code 255,255,255). The results of Kinect sensor data will be taken through EWRF 3022 by visual basic 6.0 program periodically, 10 times each session with frequency 1 time per minute. The results of this trial show the same similar index (value 1: identical) in the luminance, contrast and structural section of the edge region or edge region of the specimen. The value indicates that the Multiple Localized Filtering Technique is applied to the noise generated by the Kinect sensor. Based on the ROI Image Quality Assessment model, there is no effect on the image quality generated by the sensor.