Abstract: An automated system is developed by making use of the concepts present of image processing and pattern recognition, for accurate detection, identification and automatically differentiating the vegetative cells and heterocyst in Nostoc sp. The motto of this study is to identify the object of interest by using few methods such as edge detection, thresholding to remove unrelated objects from the image. Circular hough transform will detect the object with given radius by collecting maximum voting in a given image.
Sabeeha Sultana, Gowri Srinivasa and N. Thajuddin, 2017. A Novel Approach for Automatic Detection and Classification of Heterocysts from Vegetative cells in Nostoc sp.. Journal of Engineering and Applied Sciences, 12: 8328-8333.