Novel Segmentation Technique Using Wavelet Based Active Contour Model for Detection of Mammographic Lesions

An automated method for tree-ring delineation based on active contours guided by DT-CWT complex coefficients in photographic images: Application to Abies alba wood slice images

“…An active contour is often presented as an energy minimization model, which integrates a number of constraints derived from specific forces. Active contour models have been widely used in medical image processing (Cai et al, 2006;Nagappan et al, 2008), texture segmentation (Chen et al, 2006) or visual tracking (Paragios and Deriche, 2000). Active contour methods are quite difficult to classify, as shown in (McInerney and Terzopoulos, 1996;He et al, 2008), but we can define three major categories: parametric, implicit and point-based models.…”

“…More sophisticated approaches offer successive refinements from coarse to fine segmentation (Nagappan et al, 2008). Several authors have offered the possibility of coupling these refinements with wavelet transforms (Nagappan et al, 2008;Shan and Ma, 2010). For example, the model in (Dah Way et al, 2005;Zhang and Liu, 2005) reduces computation time thanks to the multiscale analysis nature of the wavelet transforms.…”

“…The basic approach uses the image gradient as an external force to attract the active contour to the object boundary (Kass et al, 1988). More sophisticated approaches offer successive refinements from coarse to fine segmentation (Nagappan et al, 2008). Several authors have offered the possibility of coupling these refinements with wavelet transforms (Nagappan et al, 2008;Shan and Ma, 2010).…”

Mammographic mass classification according to Bi‐RADS lexicon

“…However, because of various types of tiredness and human factors, the rate of diagnosis failure was high. It was observed that the radiologists miss approximately 10% of the whole of the cancerous lesions [4].…”