Reassignment methods seek to sharpen the time-frequency representation of conventional time-frequency algorithms, such as the continuous wavelet transform (CWT). However, such methods aim to localize both noise components and signal components of interest, which makes the discrimination between such components for low SNR signals a difficult task. Inspired by the recovery of modes (RCM) algorithm, we propose a selective time-frequency reassignment procedure that attempts to identify and localize oscillatory components of interest for the continuous wavelet transform (CWT), where the reassignment is carried out for selective localization. The performance of the proposed method is illustrated on both synthetic and real world data.