Document Image binarization is the segmentation of the document into foreground text and
background. It is done to obtain the clear images from which text can be retrieved easily …

A drastic rise in the incidence of breast cancer in patients is witnessed as per the new
roadmap launched by the World Health Organization in 2023. Premature breast cancer …

Generation of random fields (GRF) for image segmentation represents partitioning an image
into different regions that are homogeneous or have similar facets of the image. It is one of …

Object Recognization plays an important role in Computer Vision. In the literature many
methods have existed but no method is suitable for object recognization with shadow, noise …

Enhancement of degraded documents is one of the significant and challenging research
areas. In recent years, several binarization methods are proposed and presented for the …

In this paper, we will present an accurate, swift and noiseless image binarization technique
that was tested on real life back side container images. Our approach consists of converting …

Vehicle accidents are growing extremely lack of control over the system during dark. The
unexpected crossing of objects, animals or humans on the highways makes the driver make …

In this work, we propose a new method to binarize the degraded printed images. This
binarization use the texture information calculated from the edge image to enhance the …

Tainted documents are degraded or ruined documents of low quality and of worn out look.
The taintations are like disparity variation, smear, ooze, uneven illumination. To enhance the …

Cette thèse est consacrée à la reconnaissance des chiffres manuscrits isolés en s' appuyant
principalement sur la Transformée en Ondelettes Discrète (TOD), le classifieur Machine à …