Zahra Toony

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In image hiding we embed a secret image into a cover image. In order to minimize the distortion of secret image, we presented a novel steganographic method based on content-aware seam carving. In this paper, we propose a new image hiding method in which, the secret image is initially classified based on image complexity measure. Then it is resized to an(More)
It is often required that image resizing be done brightly in order to preserve important content. Some image resizing techniques like scaling and cropping fail to identify and protect important objects, or they produce non-photorealistic images. But content aware image resizing schemes aim to change image aspect ratios while preserving visually outstanding(More)
Recently, a technique has been proposed for image hiding, that is based on block texture similarity where, blocks of secret image are compared with blocks of a set of cover images and the cover image with the most similar blocks to those of the secret image is selected as the best candidate cover image to conceal the secret image. In this paper, we propose(More)
Being able to automatically segment 3D models into meaningful parts is an important goal in 3D shape processing. In this paper, we are proposing a fast and easy-to-implement 3D segmentation approach, which is based on spectral clustering. For this purpose, we define an improved formulation of the similarity matrix which allows our algorithm to segment both(More)
In this work we present a pairwise 3D vision-based inspection method for comparing locally deformable 3D models which refers to models whose parts have undergone some local deformation or change while the rest of the parts remained rigid and intact. In general, local deformations result from two types of transformations: non-volume conservative(More)
Segmenting a 3D model is an important challenge since this operation is relevant for many applications. Making the segmentation algorithm able to find relevant and meaningful geometric primitives automatically is a very important step in 3D image processing. In this paper, we adapted a 2D spectral segmentation method, Power Iteration Clustering (PIC), to(More)
In reverse engineering, it is important to extract the 3D geometric primitives that compose an object. It is also important to find the values of the parameters describing each primitive. This paper presents an approach for the estimation of the parameters of geometric primitives once their type is known using 3D information. The primitives of interest are(More)
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