An Efficient Segmentation of Insects from Images Using Clustering Algorithm and Thresholding Techniques

ABSTARCT Image can be represented in the area of Digital Processing, which is an optically formed duplicate or other reproduction of an object. In this paper images are being used in analysing of an Object. Noise means unwanted signal in an Image. Every Image is represented by noise. Salt and Pepper noise has been represented by bright pixels in dark regions and dark pixels in bright regions. Implementation of Noise removal filter filters the unwanted disturbances in the Image. In this work color image segmentation has been extensively applied using K-means Clustering. Color segmentation is done in by color features in the image in order to classify different colors in an Image. Thersholding is the basic approach in Segmenting an image. In this work Otsu Thersholding and Multiple thersholding has been used to segment the Image. According to the intensity value of the pixels the images are being segmented.