Comput Math Methods Med - A wavelet relational fuzzy C-means algorithm for 2D gel image segmentation.

Tópicos

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Resumo

One of the most famous algorithms that appeared in the area of image segmentation is the Fuzzy C-Means (FCM) algorithm. This algorithm has been used in many applications such as data analysis, pattern recognition, and image segmentation. It has the advantages of producing high quality segmentation compared to the other available algorithms. Many modifications have been made to the algorithm to improve its segmentation quality. The proposed segmentation algorithm in this paper is based on the Fuzzy C-Means algorithm adding the relational fuzzy notion and the wavelet transform to it so as to enhance its performance especially in the area of 2D gel images. Both proposed modifications aim to minimize the oversegmentation error incurred by previous algorithms. The experimental results of comparing both the Fuzzy C-Means (FCM) and the Wavelet Fuzzy C-Means (WFCM) to the proposed algorithm on real 2D gel images acquired from human leukemias, HL-60 cell lines, and fetal alcohol syndrome (FAS) demonstrate the improvement achieved by the proposed algorithm in overcoming the segmentation error. In addition, we investigate the effect of denoising on the three algorithms. This investigation proves that denoising the 2D gel image before segmentation can improve (in most of the cases) the quality of the segmentation.

Resumo Limpo

one famous algorithm appear area imag segment fuzzi cmean fcm algorithm algorithm use mani applic data analysi pattern recognit imag segment advantag produc high qualiti segment compar avail algorithm mani modif made algorithm improv segment qualiti propos segment algorithm paper base fuzzi cmean algorithm ad relat fuzzi notion wavelet transform enhanc perform especi area d gel imag propos modif aim minim oversegment error incur previous algorithm experiment result compar fuzzi cmean fcm wavelet fuzzi cmean wfcm propos algorithm real d gel imag acquir human leukemia hl cell line fetal alcohol syndrom fas demonstr improv achiev propos algorithm overcom segment error addit investig effect denois three algorithm investig prove denois d gel imag segment can improv case qualiti segment

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