Speckle noise reduction from ultrasound image using modified binning method and fuzzy inference system

Ultrasound images contain Speckle Noise which degrades the quality of the images. Eliminating such noise is an important preprocessing task. This paper describes and analyses an algorithm for cleaning speckle noise in ultrasound medical images. In this method the presence of Speckle noise is detected by a simpler method called a Fuzzy Logic based Technique (FLT). However, the filtering idea is to recover the healthy pixel by the help of neighboring pixels. Sometimes the loss of edges or presence of noise makes the image noisy or blurred in appearance. To acquire a better performance we state an another method based on Binning Method that works efficiently to denoise an image without blurring the frontiers between different regions. To evaluate the performance we calculate the Signal to Noise Ratio, The Peak Signal to Noise Ratio, The Root Mean Square Error, The Edge Preservative Factor. This method gives the better performance than Existing Method [1].