… In this section, we proposed the framework for biomedical image retrieval using … bit planes
for further processing. Let M is a grayscale image of dimension m1 × m2 with bit depth of B-bit. …

… that the local bit-plane decoded features are well suited for this retrieval task. Moreover, in …
a local bit-plane decoding-based AlexNet descriptor (LBpDAD) for biomedical image retrieval. …

… This paper present the method developed to search and retrieve the similar image using
bit plane image. Bit plane images are formed by using threshold and using bit plane slicing. …

… Abstract—Based on the analysis of color histogram for image retrieval, a new descriptor,
bit-plane … The image is firstly divided into eight bit-planes and the Gray-code of bit-planes is …

… Based on image bit-plane theory and multi-scale Harris–Laplace detector, we present a
robust color image retrieval scheme using visual interest point feature of significant bit-planes in …

… Based on the analysis of color histogram for image retrieval, a new descriptor, bit-plane …
The image is firstly divided into eight bit-planes. Meantime, the Gray code of bit-planes is used to …

… This section is devoted to the image retrieval experiments and analysis over the NEMA-CT
database [11]. The 499 CT images of resolution 512 × 512 are considered from CT0001, …

… By utilizing both signal processing and cryptographic techniques, three schemes are
investigated and compared, including bitplane randomization, random projection, and randomized …

… In this article, new feature descriptor local bit plane adjacent neighborhood … CT image
retrieval. In the proposed method, the input image is first decomposed into eight binary bit planes. …

… global feature and Block Bit Plane (BBP) as a local feature. For similarity measurement,
distance d1 is used for CH features and BBPs are compared bit by bit using Hamming distance. …