Open Access Open Access  Restricted Access Subscription or Fee Access

Texture Defect Detection using Human Vision Perception based Contrast

V. Asha


Defect detection in images with periodically repeating patterns is much more complex than that in plain textural images because of high similarity among the repeating patterns. Human vision perception based features are ideal for detecting such defects in such textural images. In this paper, a defect detection method is presented for identifying defects in periodically patterned textures based on Human Vision Perception (HVP) based contrast. Input defective images are split into several periodic blocks and two features, namely, HVP contrast of each periodic block and its absolute difference with the global contrast are used as 2-Dimensional feature space to identify defective blocks using Ward’s hierarchical algorithm. Various real fabric images with defects have been tested using the proposed method and the performance is evaluated in terms of accuracy and computation time. Capability of the proposed method of defect detection is demonstrated by comparison with Gabor wavelet-based method of defect detection with features of neuro-physiological aspects of human vision perception.


Patterned textures, Periodicity, Defect, Human Vision Perception, Contrast

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.