MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation

Robust Model-Based Algorithm for Range Image Segmentation

his paper presents a novel range image segmentation algorithm based on a newly proposed obust estimator: Adaptive Scale Sample Consensus (ASSC) [28]. The proposed algorithm is a odel-based top-down technique and directly extracts the required primitives (models) from the aw images. Compared with current popular methods (region-based and edge-based methods), the lgorithm is very robust to noisy ...

Range Image Segmentation by Surface Extraction Using an Improved Robust Estimator

This paper presents a novel range image segmentation algorithm based on planar surface extraction. The algorithm was applied to common range image databases and was favorably compared against seven other segmentation algorithms using a popular evaluation framework. The experimental results show that, as compared to the other methods, our algorithm presents a good performance in preserving small...

Robust Statistics for Computer Vision: Model Fitting, Image Segmentation and Visual Motion Analysis

Adaptive-Scale Robust Estimator Using Distribution Model Fitting

We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diagnostic method that uses random sampling like RANSAC, but adaptively estimates the inlier scale using a novel adaptive scale estimator. The residual distribution model of inliers is assumed known, such as a Gaussian di...

Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...