Marketing

Context (archaeology)

Linguistics

Philosophy

Archaeology

Computer science

Shadow (psychology)

Business

Scale-space segmentation

Image segmentation

Range segmentation

Segmentation

Psychology

Pattern recognition (psychology)

Geography

Image (mathematics)

Feature (linguistics)

Psychotherapist

Segmentation-based object categorization

Artificial intelligence

Minimum spanning tree-based segmentation

Market segmentation

Region growing

Image texture

Computer vision

Iraqi Journal for Electrical And Electronic Engineering

Image segmentation is a wide research topic; a huge amount of research has been performed in this context. Image segmentation is a crucial procedure for most object detection, image recognition, feature extraction, and classification tasks depend on the quality of the segmentation process. Image segmentation is the dividing of a specific image into a numeral of homogeneous segments; therefore, the representation of an image into simple and easy forms increases the effectiveness of pattern recognition. The effectiveness of approaches varies according to the conditions of objects arrangement, lighting, shadow, and other factors. However, there is no generic approach for successfully segmenting all images, where some approaches have been proven to be more effective than others. The major goal of this study is to provide summarize of the disadvantages and the advantages of each of the reviewed approaches of image segmentation.

A Comprehensive Review of Image Segmentation Techniques