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International audience; Neuronal outgrowth assessment is useful to understand the development of peripheral or centralneurons and their regeneration after wounding. It consists in the determination of the length of the cellextensions (neurite length) using photos of neuron cultures. As the manual determination of neurite length istime-consuming and operator-dependent, many semi- or fully-automated methods have been developed. Most ofthem have been designed to analyze fluorescence microscopy images which allow clear delineation of cellbodies and neurites from the background. In this paper, we propose a new easy-to-use fully automated computervision methodbased on denoising, background subtraction, edge and envelope detection, and designed toanalyze compressed images (JPEG format) of non-fluorescent living neurons. A statistical tool was alsointegrated in the program to provide turnkey data to biologists. The reliability of our program was tested usingimages of differentiated PC-12 cell culture. Statistical analysis showed non-significant difference between themanual determination and our automated method

International audience

International audience; A pavement is a solid surface material laid down on an area intended to support foot and vehicular traffic, such as a walkway or road. Due to heavy traffic and poor weather conditions, the road becomes increasingly degraded and thus threatens human safety. For this reason, automatic road anomalies detection is introduced in order to solve problems of the pavement and avoid the expensive maintenance operations. In this context, we will present in this paper two types of anomalies we have considered to achieve the main goal of our research. The first type concerns the detection of road marking degradations. To do so, we are based on our own method cited in [1] for road marking features extraction using the VIAPIX® system [2]. Indeed, relying on inverse perspective mapping technique and color segmentation to detect all white objects, our algorithm is able to examine images automatically and to provide information on road marks. Then, based on an optical correlation and a geometric recognition techniques to identify the detected objects and a technique for analyzing the state of the identified marks, it allows qualifying all road markings more accurately with a minimum of false alarms. The second type of anomalies concerns fine-structures extraction defined by our novel approach ADFD (Automatic Darkest Filament Detection) for automatic road crack detection on pavement images acquired by the Aigle-RN system [3, 4]. Indeed, our approach is composed of two main phases. Relying on the photometric characteristics, the first phase consists in selecting dark pixels that have great probability of belonging to a crack in the image. Then, based on the geometric characteristics, the second phase consists in connecting the selected dark pixels between them by applying the Dijkstra's algorithm [5] in order to get the crack skeleton in the pavement image.

International audience

International audience; A versatile photolithographic photoplotter based on a standard photoreduction stepper where the reticle is replaced by a commercial liquid crystal microdisplay is reported. The microdisplay module is designed as a drop-in replacement allowing the photoplotter to be simply and quickly converted into a standard stepper making it an extremely versatile, low cost R&D tool. Binary and multilevel plotting are demonstrated with plot rates of several Mpixels/s and 1 micron feature sizes into standard industrial photoresists. The limitations on plot rate and resolution are presented and techniques for overcoming them discussed.

International audience