Survey on Image Segmentation Techniques

By Nida M. Zaitoun, M. Aqel. 2015

297 citations recorded by the source corpus.

Abstract Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. Several general-purpose algorithms and techniques have been developed for image segmentation. Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain. This paper presents a comparative study of the basic Block-Based image segmentation techniques.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/1f8bbbbdcd421d695b6726c99189bd74cb38515c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. F. Sultana
2. Paramartha Dutta
3. Abu Sufian

Citations in the corpus

• Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey (2020, background): “eaningful information for easier analysis. In this case, the image pixels are labeled in such a way that every pixel in an image shares certain characteristics such as color, intensity, texture, etc. [38, 39]. Mainly, image Figure 1: Dierent types of image segmentation 3 segmentation is of two types”