Fuzzy Multi-Criteria Decision Making in Stereovision Matching for Fish-Eye Lenses in Forest Analysis

Abstract

Abstract. This paper describes a novel stereovision matching approach based on omni-directional images obtained with fish-eye lenses in forest environments. The goal is to obtain a disparity map as a previous step for determining the volume of wood in the imaged area. The interest is focused on the trunks of the trees. Due to the irregular distribution of the trunks, the most suitable features are the pixels. A set of six attributes is used for establishing the matching between the pixels in both images of each stereo pair analysed. The final decision about the matched pixels is taken based on a well tested Fuzzy MultiCriteria Decision Making approach, where the attributes determine the criteria and the potential matches in one image of the stereo pair for a given pixel in the other one determine the alternatives. The application of this decision making approach makes the main finding of the paper. The full procedure is based on the application of three well known matching constraints. The proposed approach is compared favourably against the usage of simple features.

A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments

“…Concretely, the combination in each method is: in CFI as we explain in [45], in the SFI and DES methods as in [46], and in the FMCDM method as in [24]. The averaged percentage of error and standard deviations obtained trough these three methods are also displayed in Table 4.…”

A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method

“…The four decision making strategies proposed cope with the variability of lighting conditions such as it was observed in previous works [48–50]. However, an improvement in the accuracy is desirable.…”

“…Each one of them has been reported to give excellent results as a classifier combiner [46,47]. Moreover, based on the conclusions reported in [48–50], each strategy appears as a suitable method for the combination of attributes. In fact, with a little adjusting they can be used for combining attributes in this proposal, in outdoor images under similar characteristics (lighting condition, shadows, occlusions, etc. )…”

Segmentation and Stereoscopic Correspondence in Images Obtained with Omnidirectional Projection for Forest Environments

“…This together with the qualitative improvement provided by this approach, as explained above, allows us to conclude that this is a suitable method for computing the disparity map in this kind of images. Other combined decision making approaches have been successfully used in previous works in the same forest environment, where the final decision about the correct match, among the candidates in the list, is made according to techniques used for combining classifiers conveniently adapted in our approach to be applied for the stereovision matching (Herrera et al, 2009a(Herrera et al, , 2009b(Herrera et al, , 2009c(Herrera et al, , 2011bHerrera, 2010;Pajares et al, 2011). In (Herrera et al, 2011a) the similarity and uniqueness constraints are mapped through a decision making strategy based on a weighted fuzzy similarity approach.…”